Category Archives: Quantum Computing

Quantum computing, a revolutionary technology based on the principles of quantum mechanics, is steadily gaining momentum. The technology has the potential to transform various industrial sectors and solve complex challenges in healthcare, finance, cybersecurity, logistics, and artificial intelligence. Despite significant investments and advancements, the technology is still in its nascent stages, and companies are diligently working to overcome obstacles to make practical quantum computing a reality.

Quantum computing operates on the principles of quantum mechanics, which includes phenomena like superposition and entanglement. This allows quantum computers to perform calculations at speeds and scales that are currently unimaginable with conventional computers. However, the technology is still in its infancy, and researchers are addressing numerous challenges, such as quantum error correction and qubit stability, to make quantum computing practical and accessible.

Industry giants such as IBM, Google Quantum AI, Amazon Web Services, Microsoft Azure, Intel, and D-Wave are at the forefront of developing quantum computing systems and services. IBM, in particular, recently announced significant advancements in quantum processors and platforms at its Quantum Summit 2023, introducing the IBM Heron quantum processor and the IBM Quantum System Two. These advancements in performance, error reduction, and integration of tunable couplers signify a pioneering role in the rapidly evolving field of quantum computing.

Despite the enormous potential of quantum computing, the technology is fraught with challenges. One of the major hurdles is quantum error correction, which is crucial to ensure accurate results from quantum computations. However, a recent breakthrough funded by DARPA and led by Harvard focuses on correcting quantum errors more efficiently. This breakthrough could potentially bring quantum computing to the masses years sooner than expected. The Harvard teams new approach to error correction could make quantum computing four times as powerful as the most advanced quantum chip available today.

Although practical applications of quantum computing are still under research, experts agree that the technology holds great promise. IBM has released an updated Quantum Development Roadmap extending to 2033, outlining a strategic vision for advancing quantum computing technology. Similarly, Microsoft disclosed its roadmap for developing a quantum supercomputer, projecting the achievement within 10 years. These roadmaps reflect the industrys commitment to making quantum computing a reality, potentially revolutionizing every sector, from healthcare to finance.

Despite quantum computers not yet outperforming classical computers in real-world applications, the quantum technology industry has seen significant growth and investment. In 2022 alone, the industry experienced a record year for funding, with significant investments made by the US, EU, Canada, and China. These investments underscore the potential of quantum computing and its expected impact on various sectors.

In conclusion, quantum computing is a revolutionary technology that could potentially transform various sectors. While practical applications are still under research, the continuous investments and advancements in the field suggest that the future of quantum computing is promising. As the technology matures, it could provide solutions to complex challenges in healthcare, finance, cybersecurity, logistics, and artificial intelligence, changing the way we live and work.

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Revolutionary Technology of Quantum Computing: Challenges, Breakthroughs and Future - Medriva

CAMBRIDGE, England, and BROOMFIELD, Colo., Dec. 14, 2023 Quantinuum today announced that Harry Buhrman, Ph.D., a renowned and distinguished complexity theorist and quantum computing scientist, has joined its team as Chief Scientist for Algorithms and Innovation.

Harry is one of a handful of recognised global leaders in quantum computing and we are privileged and pleased that he has joined our team in a leadership position, said Ilyas Khan, founder and chief product officer. I am doubly thrilled that our clients and partners will have access to one of the finest minds in the field as we navigate the era of quantum utility.

Buhrman will lead Quantinuums algorithms group, augmenting the work being done by its scientific teams in software and applied use cases in artificial intelligence (AI), optimization, quantum Monte Carlo Integration (QMCI), and chemistry. Additionally, Buhrman will be responsible for integrating Quantinuums quantum process technology with its software and application product offerings, driving innovation through co-design and co-creation, achieving close collaboration between scientific and engineering teams, software developers and customer application design teams globally.

Quantum computing has evolved from an esoteric academic discipline to a field with real-world applications and the potential to impact society significantly. I am extremely excited to join Quantinuum, to help further its leadership position, and to put our revolutionary technology to work in the hands of customers and research groups around the world, Buhrman said.

Buhrman has been an active researcher advancing humanitys understanding of complexity theory and quantum computing since the 1990s, when he formed and headed the quantum computing group at CWI, the national research institute for mathematics and computer science in the Netherlands. In 2015, he founded QuSoft, the national research center for quantum software and technology, a collaboration between CWI and the University of Amsterdam, forming industrial collaborations in quantum computing with partners including ABN AMRO, Bosch, KLM and Toyota. He has been an integral part of the development of the EUs quantum computing roadmap.

About Quantinuum

Quantinuum is the worlds largest integrated quantum computing companies, formed by the combination of Honeywell Quantum Solutions world-leading hardware and Cambridge Quantums class-leading middleware and applications. Quantinuum accelerates quantum computing and the development of applications across chemistry, cybersecurity, finance, and optimization. The company employs over 480 individuals, including 350 scientists, at nine sites across the United States, Europe, and Japan.

Source: Quantinuum

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Quantinuum Welcomes Harry Buhrman as New Chief Scientist for Algorithms and Innovation - HPCwire

The next ten years will be marked by all the uncertainties and unintended consequences that underpin so many doom and gloom scenarios. It is time to start tracking the abundance and breakthroughs that will also come fast and furious in the next decade equally as overwhelming, while also breathtaking, positive, highly technical and scientific and transformative. Here are a couple of those recent firsts.

Landmark decision heralds a new type of medicine that can tackle genetic conditions that are hard to treat (1)

As reported last week by STAT: The Food and Drug Administration (FDA)approved the worlds first medicine based on CRISPR gene-editing technology, a groundbreaking treatment for sickle cell disease that delivers a potential cure for people born with the chronic and life-shortening blood disorder. Thenew medicine, called Casgevy, is made by Vertex Pharmaceuticals and CRISPR Therapeutics. Its authorization is ascientific triumphfor the technology that can efficiently and precisely repair DNA mutations ushering in a new era of genetic medicines for inherited diseases.

The WSJ also covered this breakthrough: FDA Approves Worlds First Crispr Gene-Editing Drug for Sickle-Cell Disease

Key step toward reliable, game-changing quantum computing

Harvard researchers have realized a key milestone in the quest for stable, scalable quantum computing, an ultra-high-speed technology that will enable game-changing advances in a variety of fields, including medicine, science, and finance.The team, led byMikhail Lukin, the Joshua and Beth Friedman University Professor in physics and co-director of theHarvard Quantum Initiative, has created the first programmable, logical quantum processor, capable of encoding up to 48 logical qubits, and executing hundreds of logical gate operations, a vast improvement over prior efforts.

Published inNature, the work was performed in collaboration withMarkus Greiner, the George Vasmer Leverett Professor of Physics; colleagues from MIT; andQuEra Computing, a Boston company founded on technology from Harvard labs. The system is the first demonstration of large-scale algorithm execution on an error-corrected quantum computer, heralding the advent of early fault-tolerant, or reliably uninterrupted, quantum computation. Lukin described the achievement as a possible inflection point akin to the early days in the field of artificial intelligence: the ideas of quantum error correction and fault tolerance, long theorized, are starting to bear fruit.

I think this is one of the moments in which it is clear that something very special is coming, Lukin said. Although there are still challenges ahead, we expect that this new advance will greatly accelerate the progress toward large-scale, useful quantum computers. Denise Caldwell of the National Science Foundation agrees. This breakthrough is a tour de force of quantum engineering and design, said Caldwell, acting assistant director of the Mathematical and Physical Sciences Directorate, which supported the research through NSFs Physics Frontiers Centers and Quantum Leap Challenge Institutes programs. The team has not only accelerated the development of quantum information processing by using neutral atoms, but opened a new door to explorations of large-scale logical qubit devices, which could enable transformative benefits for science and society as a whole.

The work was supported by the Defense Advanced Research Projects Agency through the Optimization with Noisy Intermediate-Scale Quantum devices program; the Center for Ultracold Atoms, a National Science Foundation Physics Frontiers Center; the Army Research Office; the joint Quantum Institute/NIST; and QuEra Computing.

Supplementary Video 1 is Atom video for coherent atom motions used in this work. These videos depict the coherent atom motions employed for the quantum circuits realized in these experiments. To perform parallel entangling gates, indicated by red ovals, the relevant pairs of atoms are brought within close vicinity (~2 m). Supplementary Video 1: Fault-tolerant 4-qubit GHZ state using d = 3 color codes (Fig. 3). Ten color codes, arranged in two rows of five codes with 7 physical qubits per code, are encoded in parallel and the bottom row of five logical qubits are used as ancillas in the transversal CNOT and are then moved to the storage zone. The leftmost four computation logical qubits are then used to prepare a GHZ state.

Suppressing errors is the central challenge for useful quantum computing (1), requiring quantum error correction (2,3,4,5,6) for large-scale processing. However, the overhead in the realization of error-corrected logical qubits, where information is encoded across many physical qubits for redundancy (2,3,4) poses significant challenges to large-scale logical quantum computing. Here we report the realization of a programmable quantum processor based on encoded logical qubits operating with up to 280 physical qubits. Utilizing logical-level control and a zoned architecture in reconfigurable neutral atom arrays (7), our system combines high two-qubit gate fidelities (8), arbitrary connectivity (7,9), as well as fully programmable single-qubit rotations and mid-circuit readout (10,11,12,13,14,15).

Operating this logical processor with various types of encodings, we demonstrate improvement of a two-qubit logic gate by scaling surface code6 distance from d=3 to d=7, preparation of color code qubits with break-even fidelities5, fault-tolerant creation of logical GHZ states and feedforward entanglement teleportation, as well as operation of 40 color code qubits. Finally, using three-dimensional [[8,3,2]] code blocks (16,17) we realize computationally complex sampling circuits (18) with up to 48 logical qubits entangled with hypercube connectivity (19) with 228 logical two-qubit gates and 48 logical CCZ gates (20). We find that this logical encoding substantially improves algorithmic performance with error detection, outperforming physical qubit fidelities at both cross-entropy benchmarking and quantum simulations of fast scrambling (21,22). These results herald the advent of early error-corrected quantum computation and chart a path toward large-scale logical processors.

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[1] Preskill, J. Quantum Computing in the NISQ era and beyond. Quantum 2, 79 (2018). [2] Shor, P. W. Fault-tolerant quantum computation. In Annual Symposium on Foundations of Computer Science Proceedings, 5665 (IEEE, 1996). [3] Steane, A. Multiple-particle interference and quantum error correction. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 452, 25512577 (1996). [4] Dennis, E., Kitaev, A., Landahl, A. & Preskill, J. Topological quantum memory. Journal of Mathematical Physics 43, 44524505 (2002). arXiv:0110143 [quantph]. [5] Ryan-Anderson, C. et al. Implementing Fault-tolerant Entangling Gates on the Five-qubit Code and the Color Code (2022). arXiv:2208.01863. [6] Quantum, G. Suppressing quantum errors by scaling a surface code logical qubit. Nature 614, 676681 (2023). [7] Bluvstein, D. et al. A quantum processor based on coherent transport of entangled atom arrays. Nature 604, 451456 (2022). [8] Evered, S. J. et al. High-fidelity parallel entangling gates on a neutral-atom quantum computer. Nature 622, 268272 (2023). [9] Beugnon, J. et al. Two-dimensional transport and transfer of a single atomic qubit in optical tweezers. Nature Physics 3, 696699 (2007). [10] Deist, E. et al. Mid-Circuit Cavity Measurement in a Neutral Atom Array. Physical Review Letters 129, 203602 (2022). [11] Singh, K. et al. Mid-circuit correction of correlated phase errors using an array of spectator qubits. Science 380, 12651269 (2023). [12] Graham, T. M. et al. Mid-circuit measurements on a neutral atom quantum processor (2023). arXiv:2303.10051v2. [13] Ma, S. et al. High-fidelity gates and mid-circuit erasure conversion in an atomic qubit. Nature 622, 279284 (2023). [14] Lis, J. W. et al. Mid-circuit operations using the omg-architecture in neutral atom arrays (2023). arXiv:2305.19266. [15] Norcia, M. A. et al. Mid-circuit qubit measurement and rearrangement in a 171 Yb atomic array (2023). arXiv:2305.19119v3. [16] Campbell, E. T. The smallest interesting colour code (2016). URL https://earltcampbell.com/2016/09/ 26/the-smallest-interesting-colour-code/. [17] Vasmer, M. & Kubica, A. Morphing Quantum Codes. Physical Review Applied 10, 030319 (2022). [18] Arute, F. et al. Quantum supremacy using a programmable superconducting processor. Nature 574, 505510 (2019). [19] Kuriyattil, S., Hashizume, T., Bentsen, G. & Daley, A. J. Onset of Scrambling as a Dynamical Transition in Tunable-Range Quantum Circuits. PRX Quantum 4, 030325 (2023). [20] Bremner, M. J., Montanaro, A. & Shepherd, D. J. Average-Case Complexity Versus Approximate Simulation of Commuting Quantum Computations. Physical Review Letters 117, 080501 (2016). [21] Daley, A. J., Pichler, H., Schachenmayer, J. & Zoller, P. Measuring Entanglement Growth in Quench Dynamics of Bosons in an Optical Lattice. Physical Review Letters 109, 020505 (2012). [22] Huang, H. Y. et al. Quantum advantage in learning from experiments. Science 376, 11821186 (2022). arXiv:2112.00778.

The New Tech Trinity: Artificial Intelligence, BioTech, Quantum Tech:Will make monumental shifts in the world. This new Tech Trinity will redefine our economy, both threaten and fortify our national security, and revolutionize our intelligence community. None of us are ready for this. This convergence requires a deepened commitment to foresight and preparation and planning on a level that is not occurring anywhere.The New Tech Trinity.

The Revolution in Biology:This post provides an overview of key thrusts of the transformation underway in biology and offers seven topics business leaders should consider when updating business strategy to optimize opportunity because of these changes. For more see:The Executives Guide To The Revolution in Biology

Quantum Computing and Quantum Sensemaking:Quantum Computing, Quantum Security and Quantum Sensing insights to drive your decision-making process. QuantumComputing and Quantum Security

Materials Science Revolution: Room-temperature ambient pressure superconductors represent a significant innovation. Sustainability gets a boost with reprocessable materials. Energy storage sees innovations in solid-state batteries and advanced supercapacitors. Smart textiles pave the way for health-monitoring and self-healing fabrics. 3D printing materials promise disruptions in various sectors. Perovskites offer versatile applications, from solar power to quantum computing. See:Materials Science

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The First FDA Approved CRISPR-based Medicine and the First Programmable, Logical Quantum Processor - OODA Loop

Worldwide efforts are ongoing to scale up from hundreds to millions of qubits. Common challenges include well-controlled qubit integration in large-size wafer facilities and the need for electronics to interface with the growing number of qubits.

Superconducting quantum circuits have emerged as arguably the most developed platform. The energy states of superconducting qubits are relatively easy to control, and researchers have been able to couple more than a hundred qubits together.

This enables an ever-higher level of entanglement one of the pillars of quantum computing. Also, superconducting qubits with long coherence times (up to several 100s) and sufficiently high gate fidelities two important benchmarks for quantum computation have been demonstrated in lab environments worldwide.

In 2022, imec researchers achieved a significant milestone towards realizing a 300mm CMOS process for fabricating high-quality superconducting qubits. Showing that high-performing qubit fabrication is compatible with industrial processes addresses the first fundamental barrier to upscaling, i.e., improved variability and yield. Among the remaining challenges is the need to develop scalable instrumentation to interfacewith the growing number of noise-sensitive superconducting qubits.

In the longer term, much is expected from Si-spin-based qubits. Si spin qubits are more challenging to control than superconducting qubits, but they are significantly smaller (nm size vs. mm size) giving an advantage for upscaling.

Also, the technology is highly compatible with CMOS manufacturing technologies, offering wafer-scale uniformity with advanced back-end-of-line interconnection of the Si quantum dot structures.

However, Si-based quantum dot structures fabricated with industrial manufacturing techniques typically exhibit a higher charge noise. Their small physical size also makes the qubit-to-qubit and qubit-to-classical control interconnection more challenging.

The much-needed increase in qubits requires versatile and scalable solutions to control them and read out meaningful results. In early quantum processors today, external electronics circuits are used with at least one control line per qubit running from the room-temperature stage to the lowest temperature stage of the dilution refrigerator that holds the qubits.

This base temperature is as low as ten milliKelvin (mK) for superconducting quantum computing systems. Such an approach can be used for up to a few thousand qubits but cannot be sustained for large-scale quantum computers that require dynamic circuit operations such as quantum error correction.

Not only do the control and readout lines contribute to a massive I/O bottleneck at the level of the dilution refrigerator, but each wire also brings in heat to the cryogenic system with no budget left to cool them.

An attractive solution is to use CMOS-based cryo-electronics that hold RF (de-) multiplexing elements operating at the base temperature of the dilution refrigerator. Such a solution alleviates the I/O bottleneck as the number of wires that go from room to mK temperatures can be significantly reduced.

For the readout, for example, the multiplexers would allow multiple signals from a group of quantum devices to be switched to a common output line at the dilution refrigerator base temperature before leaving the fridge.

This approach has already been demonstrated for Si spin qubit quantum systems. However, thus far, the cryogenics electronics have not been interfaced with superconducting qubits due to their significantly lower tolerance to high-frequency electromagnetic noise. Be it in the form of dissipated heat or electromagnetic radiation, noise can easily disrupt fragile quantum superpositions and lead to errors.

Thats why the power consumption of the multiplexing circuits should be very low, well below the cooling budget of the dilution refrigerator. In addition, the multiplexers must have good RF performance, in terms of, for example, wideband operation and nanosecond scale switching.

Imec has demonstrated an ultralow power cryo-CMOS multiplexer for the first time that can operate at a record low temperature of 10mK. Being sufficiently low in noise and power dissipation, the multiplexer was successfully interfaced with high-coherence superconducting qubits to perform qubit control with single qubit gate fidelities above 99.9%.

This number quantifies the difference in operation between an ideal gate and the corresponding physical gate in quantum hardware. It is above the threshold for starting experiments like quantum error correction a prerequisite for realizing practical quantum computers that can provide fault-tolerant results. The results have been published in Nature Electronics [1].

The multiplexer chip is custom designed at imec and fabricated in a commercial foundry using a 28nm bulk CMOS fabrication technology. Record-low static power consumption of 0.6W (at a bias voltage (Vdd) of 0.7V) was achieved by eliminating or modifying the most power-hungry parts of a conventional multiplexer circuit as much as possible.

The easiest way to run the multiplexer is in static operation mode, which is very useful for performing single qubit characterizations. However, operations involving more than one qubit such as quantum error correction or large-scale qubit control will require a different approach allowing concurrent control of multiple qubits within a pulse sequence.

Imec researchers developed an innovative solution involving time division multiplexing of the control signals. This could provide an interesting basis for building future large-scale quantum computing system architectures.

Preliminary experiments show that the multiplexer can perform nanosecond-scale fast dynamic switching operations and is hence capable of doing active time division multiplexing while signal crosstalk is sufficiently suppressed. Currently, the team is working towards implementing a two-qubit gate based on the concept of time division multiplexing.

The experiments described in this work have been set up to contribute to developing large-scale quantum computers by reducing wiring resources. But they also bring innovations to the field of metrology.

Throughout the experiments, the ultralow noise performance of the multiplexing circuit at mK temperature was characterized for the first time using imecs superconducting qubits. In other words, the superconducting qubit can be used as a highly sensitive noise sensor, able to measure the performance of electronics that operate at ultralow temperatures and noise regimes that have never been explored before.

Figure 1 Routing microwave signals using cryo-multiplexers. a, Standard RF signal routing for measuring superconducting qubits in a dilution refrigerator. b, Scheme for multiplexing the control and readout signals at the base-temperature stage of a superconducting quantum computer. The required RF signals can be generated from either room-temperature electronics outside the dilution refrigerator or cryo-electronics operating inside. c, Schematic representation of the cryo-CMOS multiplexer. d, Optical image of the PCB onto which the cryo-CMOS multiplexer is wire bonded. e, Optical micrograph of the cryo-CMOS multiplexer chip (as published in Nature Electronics).

Si spin qubits are defined by semiconductor quantum dot structures that trap a single spin of an electron or hole. For optimal spin qubit control, the qubit environment must display low charge noise, the gate electrodes must be well-defined with small spacings for electrical tunability, and the spin control structure must be optimized for fast driving with lower dephasing.

High-fidelity Si spin qubits have been repeatedly demonstrated in lab environments in the few-qubit regime. Techniques for processing the qubit nanostructures, such as metal lift-off, are carefully chosen to achieve low noise around the qubit environment.

But these well-controlled fabrication techniques have a serious downside: they challenge a further upscaling towards larger numbers of qubits, as they cannot offer the required large-scale uniformity the very reason these methods were abandoned decades ago in the semiconductor industry at large.

Industrial manufacturing techniques like subtractive etch and lithography-based patterning, on the other hand, can offer wafer-scale uniformity, paving the way to technology upscaling. But they have been observed to degrade the qubit environment easily.

Additionally, qubit devices, like the closely spaced gate electrode and the spin control structures, arent regular transistor structures either and therefore deviate from the typical transistor roadmaps, requiring (costly) new development.

To make the device optimization more complex, the qubit performance depends largely on all these structures and on comprehensive optimizations of the full gate stack, metal electrode design, and spin control modules that are necessary for qubit performance.

Nevertheless, the overall device structure should still be compatible with the fabrication methods used for advanced, scaled transistors in commercial foundries to ensure a fair chance at upscaling.

At imec, researchers are tackling this conundrum through careful optimization and engineering of the fab qubit in a modular approach: different qubit elements are separately addressed and optimized as part of a state-of-the-art 300mm integration flow, ensuring forward compatibility with scaling requirements while satisfying the need for dedicated, non-standard device optimization as required by the challenging quantum environment.

Preliminary results on optimised structures look promising, highlighting 300mm fab integration as a compelling material platform for enabling high-quality Si-based spin qubits and upscaling studies.

The developments take advantage of the unrivalled uniformity offered by CMOS manufacturing techniques.

Figure 2 Si spin qubits manufactured with state-of-the-art 300mm integration flows.

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Imec reports on quantum computing progress - Electronics Weekly

More swiftly than ever, quantum computing is evolving, which is a powerful reminder that the technology is rapidly moving toward being commercially useful. For instance, a Japanese research institution recently disclosed progress in entangling qubits that could improve quantum error correction and possibly open the door for massively parallel quantum computers.

Quantum computing startups are booming as technology advances and investment surges. Major technological firms are also advancing their quantum capabilities; firms like Alibaba, Amazon, IBM, Google, and Microsoft have already started offering for-profit quantum computing services.

In the current tech world, quantum computing is fit for certain algorithms like optimization, machine learning, and simulation. With the advent of such algorithms in quantum engineering, several use cases can be applied in diverse fields. Starting from finance, fraud detection, healthcare, supply chain management, chemicals, petroleum, and researching new materials are the areas that can have a primary impact.

This article will go into the details of the use cases of quantum computing. But first, let us look at the quantum computing meaning and explore the market overview of quantum computing technology. Lets start learning!

In the cutting-edge science of quantum computing, data is processed uniquely using concepts from quantum physics. Unlike classical computers, which utilize bits as the basic unit of data (0 or 1), quantum computers use quantum bits, also called qubits. Superposition, a characteristic of qubits that allows them to exist in numerous states concurrently, will enable them to do complex calculations at exponentially quicker rates for specialized jobs.

Innumerable fields, including materials science, artificial intelligence, and encryption, benefit greatly from quantum computing. Researchers and businesses worldwide are attempting to harness its potential and surpass huge technological obstacles, but it is still in its infancy.

One of the latest technology trends that has become widely adopted is quantum computing. A standard processor cannot build effective models to solve complicated issues with regular processing capacity because of the volume of data that businesses collectfor example, finding the greatest prime number to use in encryption.

Lets move ahead to witness the growing quantum computing market before moving to understand the use cases of quantum computing.

Let us explore the transformative benefits and potential uses of quantum computing. Discover the remarkable benefits that quantum engineering offers across diverse fields, from revolutionizing cryptography and accelerating drug discovery to supercharging artificial intelligence and addressing complex optimization problems.

Quantum computing can dramatically improve the process and provide numerous benefits in chemical simulation.

Scientists could use this increased computational power to investigate larger and more complex molecular structures, allowing them to achieve more accurate and detailed simulations of chemical systems due to the exponential complexity of the quantum world, which classical computers have difficulty simulating accurately.

A variety of approaches with differing degrees of accuracy and computational expense are used in quantum chemical simulations. Here are three examples:

Route planning and logistics are also changing due to quantum technology. By providing global routing optimization and regular re-optimizations, the use of quantum computers might drastically lower the cost of freight transportation and increase customer satisfaction.

The Quantum Approximate Optimization Algorithm (QAOA) is one of the most well-known algorithms in quantum optimization. QAOA combines traditional optimization methods with quantum computing to approximate solutions to optimization issues.

Another method that uses quantum fluctuations to locate ideal solutions at low energy levels is known as quantum annealing (QA). Applications of QA that are particularly helpful include the Quadratic Unconstrained Binary Optimization (QUBO) issue and the well-known NP-hard Ising model.

The potential role of quantum computing and AI in developing next-generation artificial intelligence (AI) is also significant. At the same time, it is still debatable whether QML will have any advantages, especially in light of the release of ChatGPT late last year.

For the status quo machine learning (ML) evolving in 2021, which is frequently constrained by a limited scope, an inability to adapt to new scenarios, and a lack of generalization skills, the capacity to handle complexity and keep alternatives open is a clear advantage. Artificial general intelligence (AGI) development may be made possible by a quantum computer, while some consider this the greatest risk.

Now that we have understood the benefits, lets move to learn the quantum computing use cases.

While we anticipate quantum advantage to be a reality by 2025, we assist businesses in identifying immediate and longer-term opportunities. Additionally, it goes beyond the uses of quantum computing for business. We also find applications that have significant potential for societal impact.

Several of the more intriguing use cases of quantum computing applications include:

Quantum computers can bring in $2 to $5 billion in operating revenue for financial institutions over the next ten years, coupled with quantum-inspired algorithms running on classical computers. The ability to handle uncertainty in decision-making more effectively is one of the primary benefits of quantum technology for financial actors. Applications include, among others, asset pricing, risk analysis, portfolio optimization, fraud detection, and capital allocation.

The ability of quantum technologies to perform multiple calculations at once makes them particularly well suited to issues that call for simulating situations with various distinct variables or selecting the best course of action from among several possibilities. This applies to a variety of financial sector quantum computing uses.

For instance, Spanish bank BBVA and quantum company Multiverse Computing have teamed up to optimize investment portfolios. The need to account for the effects of numerous external factors on the performance of assets is a well-known issue in finance. The test demonstrated that Multiverse's quantum-inspired computing techniques accelerated the process and could maximize profitability while minimizing risk.

Options pricing is another use in finance. The Swiss startup TerraQuantum is collaborating with the financial services firm Cirdan Capital to price a difficult class of "exotic options" using quantum-inspired algorithms. Typically, this is done using mathematical operations based on market simulations. According to the business, the first data indicate a 75% boost in pricing speed compared to conventional approaches.

Financial organizations are also looking at quantum computing to improve credit risk analysis. French startup PASQAL and Multiverse are working on a quantum approach for French bank Crdit Agricole to anticipate better credit rating downgrades in borrowers. Classical methods already exist for this problem but can't process the particularities of individual situations. The bank expects factorization in quantum computing use cases and algorithms to improve the efficiency of the process.

Pharmaceutical companies can screen bigger and more complicated molecules with quantum computing, map interactions between a medicine and its target more accurately, and accelerate the development process at a lower cost. Better immunizations, treatments, and diagnostics will be available sooner and more effectively.

To create a medicine, one must first choose the appropriate drug targetthe protein, DNA, or RNA in the body responsible for a specific diseaseand then create the chemical that will safely and efficiently affect that target. Finding the perfect combination is an expensive, time-consuming procedure still largely based on trial and error due to the infinite number of potential targets and compounds.

Qubit Pharmaceuticals, a startup based in Paris, builds digital twins of medicinal compounds using hybrid quantum algorithms. These quantum-based models can simulate how molecules interact with other components and anticipate behavior accurately since they can represent many chemical features. This eliminates the need to synthesize molecules, allowing scientists to create and examine molecules digitally. According to the business, the technique may cut the time needed to screen and choose prospective medication candidates in half and reduce the required investment by 10.

Weather forecasts are notoriously inaccurate because they rely on simulations using data from current weather conditions. A model far too vast for a conventional computer would be needed to accurately represent hundreds of parameters and analyze how they interact to predict the weather more precisely.

The capacity of quantum computers to consider a wide range of parameters may change the game. For instance, the German chemical company BASF is implementing PASQAL's technology into its weather-modelling applications to gain a quantum edge over traditional methods.

Enhancing battery design entails creating a new generation of more reliable, secure, and affordable gadgets. The main challenge is identifying the precise factors resulting in an improved material, like medication design.

The construction of more effective batteries may be made possible by quantum computers' ability to precisely model chemical processes at the atomic level, according to Finnish quantum firm IQM, which raised 128 million last year for its climate-focused technology. Phasecraft claims that quantum computers could more quickly model battery materials than current technology.

Delivering electricity to the network is a difficult and time-consuming task that involves precise synchronization and coordination of a massive network of sensors, communication infrastructure, data management systems, and control mechanisms. To complete this operation more quickly, quantum computers are a good choice.

Iberdrola, a Spanish utility firm, and Multiverse have teamed up to examine how quantum algorithms might improve the operation of power networks. The project's diverse use cases call for assessing various possible combinations. For instance, the company expects using quantum algorithms to make choosing the best places for batteries within an electrical network easier.

Numerous variables can affect how long it takes to go from point A to point B. To find the best way, quantum algorithms are being created to calculate how every route and every factor might affect one another.

For instance, the French startup Quandela is collaborating with the global corporation Thales to develop a quantum algorithm that might improve drone traffic. Thales predicts that conventional computers won't be able to consider all the factors that affect trajectory shortly as the number of drones operating in populated areas rises. These range from the technical flight limitations of drones to avoiding drone-drone collisions, taking into account the locations where drones are prohibited, and preserving battery life. Quantum algorithms might model all of these elements to identify the best route for each drone.

Predicting and identifying defective parts in production lines has great economic value for manufacturing. Still, it is difficult due to the massive amount of data that must be accounted for to generate such predictions. Multiverse and Bosch are working together to create digital twins that simulate the industrial line, predict where supply chains may break, and optimize when and where maintenance is required.

Similarly, PASQAL and BMW have collaborated to deploy quantum algorithms that can replicate the production of metallic pieces to detect faults and ensure that parts meet standards.

Molecular modeling enables breakthroughs such as more efficient lithium batteries. Quantum computing will allow us to model atomic interactions at much finer and greater scales. New materials can be employed in several quantum applications, including consumer goods, automobiles, and batteries. Without approximations, quantum computing will enable molecular orbit calculations.

A greater knowledge of the interactions between atoms and molecules will allow for the development of novel medications. Detailed DNA sequence analysis will aid in detecting cancer at an early stage by establishing models that will determine how diseases evolve.

Quantum technology will have the benefit of allowing for a scale-dependent, in-depth analysis of molecular behavior. Chemical simulations will enable the development of novel drugs or improve protein structure predictions, scenario simulations can improve the ability to predict the likelihood that a disease will spread or its risks, the solution of optimization problems will improve drug distribution chains, and finally, the application of AI will hasten diagnosis and provide more accurate genetic data analysis.

New methods for combating climate change can be made possible by quantum computing. Modeling molecular interactions involving 50 to 150 atoms, which classical computers cannot handle, is one of the early uses. Better and more effective chemical catalysts may be created, leading to lower emissions and more effective carbon capture and storage techniques. In the future, quantum technology might aid in creating stronger and lighter building materials for automobiles and aircraft.

The field of artificial intelligence (AI), which fundamentally alters how businesses run, presents both fresh chances for advancement and difficulties. According to the artificial intelligence guide, the power of AI to interpret and analyze data has significantly improved. Due to the complexity of workflows and the increasing amount of data that needs to be processed, AI is also computationally demanding.

We may be able to solve complicated issues that were previously intractable thanks to machine learning and quantum computing, which can also speed up processes like model training and pattern recognition. The three types of computing that will predominate in the future are classical, biologically inspired, and quantum.

The development of quantum machine learning algorithms like the Quantum-enhanced Support Vector Machine (QSVM), QSVM multiclass classification, variational quantum classifier, or qGANs has received a lot of attention in recent years because of the intersection of quantum computing and machine learning.

Let us dive into the example of a use case in quantum computing.

These are some of the most popular software platforms, but many more software platforms and libraries are being developed and utilized in quantum computing.

Quantum computers, in some ways, are transforming the world right now. First, engineering breakthroughs are announced regularly. ColdQuanta, for example, uses lasers to ultracool atoms to nanoKelvins or degrees above absolute zero to use as qubits. And that's just one illustration of how the quantum computing industry's engineering discoveries will help the planet.

Second, quantum physics is moving from theory to experiment. Using ColdQuanta as an example, physicists worldwide can create and experiment with Bose-Einstein Condensates (BEC), often known as "quantum matter," through their cloud-accessible Albert system. While Albert is not a quantum computer, its younger relative Hilbert will also use ultracold atom technologies.

Furthermore, computer science is progressing rapidly. Since Ewin Tang set the bar with recommendation systems, scientists have been motivated to speed up conventional algorithms using quantum algorithms. This quantum-inspired technique provides immediate benefits because classical algorithms can be implemented today. As it was following Ewin Tang's breakthrough, the challenge now is to create even more powerful quantum algorithms.

Finally, quantum computers are significantly less harmful to the environment than supercomputers. That estimate, by the way, includes the adoption of extreme refrigeration and all of the associated power consumption. However, certain qubit technologies work at ambient temperature and can eliminate the need for a dilution chiller, lowering energy use even more.

Quantum computers will not replace personal computers. Since it is more efficient, numerous programs will continue functioning on current devices. However, quantum computing applications go far beyond number factoring and unstructured search. In reality, the future of quantum computing appears to be good for almost everyone.

Despite recent significant advancements in the development of quantum computing hardware and algorithms, the technology still has few practical applications. Nevertheless, the use cases presented are sufficient evidence of the potential that quantum computing (or quantum mechanics) can offer us.

But as quantum computing technologies develop, more real-world applications will probably follow. But for now, we can only monitor the market and wait for well-researched use cases from some of the world's top businesses, research organizations, and people. Only then will we witness how quantum computing applications may improve our lives.

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Quantum Computing Use Cases Are Getting Real: What You Need To Know - MobileAppDaily

The University of Calgary and Xanadu, a leading quantum computing company, announce a new partnership to provide educational materials and support for UCalgarys thriving quantum ecosystem. Through this partnership, UCalgary and Xanadu aim to help students become confident and quantum-ready professionals prepared to contribute to Canadas growing quantum workforce.

UCalgary stands out for its entrepreneurial approach to quantum research and development, fostering student empowerment through leadership and participation in initiatives like the Institute for Quantum Science and Technology (IQST), Quantum City, and the Quantum Horizons Alberta initiative.

Moreover, the Faculty of Science is set to launch the Professional Master of Quantum Computing program in January 2024. This program is designed to provide students with the skills to understand and support quantum computing systems in practical settings, as well as gain practical experience through use cases and experiential learning.

To ensure students enrolled in the Professional Master of Quantum Computing program have access to cutting-edge quantum hardware and software, UCalgary has selected Xanadu, a Toronto-based company, as its inaugural official partner for support. Together, UCalgary and Xanadu will advance quantum computing education by integrating hands-on learning resources developed by Xanadu into existing courses at UCalgary.

This collaboration aims to generate a pipeline of highly skilled professionals in quantum computing. An illustration of this collaborative partnership in action can be seen in Xanadus participation in the upcoming qConnect 2023, which is co-hosted by Quantum City in November and focuses on connecting quantum creators and users.

Xanadu (follow on X @XanaduAI) is on a mission to build quantum computers that are useful and available to people everywhere. Since 2016, they have been building cutting-edge photonic quantum computers and making remarkable progress in the field, such as being one of three teams worldwide to achieve quantum computational advantage.

In addition to their hardware success, Xanadu leads the development of multiple open-source software libraries that have been the core of several research projects. Most notable of these libraries is PennyLane,an open-source software framework for quantum machine learning, quantum chemistry, and quantum computing with the ability to run on all hardware. Check out the PennyLane demos,a gallery of hands-on quantum computing content.

Fariba Hosseinynejad Khaledy

Using Xanadus quantum computers and software libraries like PennyLane, UCalgary and Xanadu will enable students to conduct research and develop new software applications while receiving dedicated training and custom-built educational tools to support their quantum journeys.

Dr. David Feder, PhD, associate professor at IQST has been instrumental in initiating and facilitating this partnership and supervises students like Fariba Hosseinynejad Khaledy. Khaledy is a current graduate student involved in a collaborative project between Feder and researchers from Xanadu.

She explains how the access to these resources allow her to continue her science career: I am thrilled to be a part of a project that not only aligns with my research interests but also holds the potential to transform our work into real-world applications. The prospect of contributing to this initiative with the resources that Xanadu provides is undeniably exciting. I firmly believe it's crucial for graduate students to embrace this perspective early in their studies and consider aligning their projects with industry trends and demands.

The collaboration between UCalgary and Xanadu will enhance UCalgarys new Professional Masters of Quantum Computing program and is a testament to the ecosystem building the Quantum City initiative is generating at the university and, more broadly, in Alberta.

Its fantastic to be partnering with UCalgary in this initiative to make top-tier quantum computing education more accessible to students. Its exciting to see top universities like UCalgary put in the work to support their students in the exploration of this exciting and promising field, says Jen Dodd, quantum community team lead at Xanadu.

Dr. Rob Thompson, associate vice-president (research) and director of research services at UCalgary,says, The field of quantum computing is growing rapidly, and we are committed to delivering the best quantum computing education, while also building an ecosystem for quantum science and technology in Alberta, through Quantum City.

Xanadus achievements coupled with a team that is dedicated to sharing their knowledge and building a better quantum community made them a clear choice to partner with in this exciting initiative at UCalgary.

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UCalgary to provide hands-on quantum computing opportunities ... - University of Calgary

Are you ready for the future? A future where calculation time drops from days to seconds, and information is processed in an entirely different way. A future where quantum computing, once a theoretical model for computing based on quantum phenomena, becomes a widespread technological reality and a commercial opportunity.

Unlike classical computers that use bits (0s and 1s) to process information, quantum computers use quantum bits or qubits, which can exist in multiple states simultaneously due to superposition. This allows quantum computers to handle vast amounts of data and perform computations in parallel.

As of now, innovators around the world are exploring various applications for these powerful machines. Quantum technology startups are multiplying and investors are taking notice:

What transistors did for the rapid advancement of electronic devices, quantum can do on a scale we cant fully grasp. With quantum, were on the cusp of tackling colossal challenges and playing in the same computational league as Mother Nature herself. Quantum computing holds the potential to revolutionize drug development, craft materials that dont yet have names, and conduct endless simulations without the constraints of reality. Its poised to rewrite the rules of learning by doing, from engineering new proteins to offering a Black Mirror-esque glimpse into the world of online dating, says Katerina Syslova, from Tensor Ventures, a Czech deep tech-focused fund investing in AI, IoT, blockchain, biotech, and quantum computing across the CEE and UK

Central and Eastern Europe, a bedrock to exceptional tech talent, is no stranger to quantum technology research and development, through its academic institutions, participation in European projects, and a sprouting startup scene.

Zooming back to Europe, VC investment in quantum tech startups concentrates on four main areas, according to The European Deep Tech Report 2023: quantum computers and processors ($362M), quantum cryptography ($156M), quantum computing software ($98M), and quantum chemistry and AI for chemical/biotech.

While the realization of quantum computing hasnt unfolded as swiftly as many anticipated, its adoption is undeniably making steady progress. Beyond companies pushing the boundaries of bare-metal hardware innovation, theres a notable surge in the quantum software realm. This includes not only software designed for quantum computers but also quantum-inspired algorithms that deliver remarkable results when run on conventional infrastructure, we are told by Enis Hulli, General Partner at 500 Emerging Europe, a venture capital fund investing in the region.

To experiment with quantum technology and achieve a minimum viable product requires substantial budgets. With budgets primarily allocated to testing purposes, companies are also limited in their ability to grow and scale.

Nevertheless, as the technology matures and demonstrates its worth, unlocking additional capital and larger budgets will become more attainable, similar to the growth trajectory observed in the field of AI, Enis Hulli believes.

Central and Eastern Europe is experiencing a notable upswing in interest and activity in the field of quantum technologies, says Hulli, further pointing to the participation of academic institutions and research centers in countries like Poland and Hungary in quantum research. Such projects in turn contribute to the growth of quantum knowledge and expertise within the region.

Hungary, for instance, has established a National Quantum Technology Programme (HunQuTech) to connect the country to the developing European quantum internet. Hungary is also the sole country from the region participating in the OpenSuperQplus European project, through the Faculty of Natural Sciences and the Wigner Research Centre for Physics at the Budapest University of Technology and Economics. The project aims to develop a 1000-qubit quantum computer.

It shouldnt be a surprise given CEEs access to a robust talent pool in mathematics and computer science, whose skills and expertise can be harnessed to drive innovation and advancement in quantum technologies.

A quantum technology startup scene is also emerging. As of October 2023, we tracked 18 Central and Eastern European quantum technology startups. Poland, in particular, sits among the countries with the highest number of startups working on quantum technologies (6 counted in the mapping below), behind only Switzerland, Spain, Netherlands, France, Germany, and the UK.

CEE innovators excel in one particular arena identifying technology gaps and challenges and then crafting tailor-made solutions. This may as well be the opportunity that CEE startups are uniquely poised to seize, observes Katerina Syslova from Tensor Ventures, who has invested in three quantum startups thus far, including Poland-based BeIT.

For investors, tapping into the opportunities presented by one of the most complex technologies out there is nothing short of a challenge.

We were smart enough to know we werent smart enough. So we partnered up with Michal Krelina, one of the best quantum experts there is. He is our guide and Vergiliuls in the landscape of technical due diligence. In our portfolio, were constructing interconnected stacks, and quantum is no exception, adds Katerina Syslova from Tensor Ventures.

All that said, building a comprehensive quantum ecosystem demands time, collaboration, and substantial funding.

However, its important to acknowledge that while CEE is making strides in quantum research and talent development, challenges remain in terms of securing the necessary infrastructure and funding, as well as competing on a global scale with quantum powerhouses like the United States, Canada, and China. To position itself effectively in the global quantum ecosystem, CEE must continue to foster academic and research collaborations, attract investment, and strengthen its overall quantum infrastructure, says Hulli.

Location: Ljubljana, Slovenia

Founders: Marjan Beltram, Peter Jegli

About: The company is designing cold neutral atoms QCs with a completely new and patented approach to preparing qubit arrays.

Stage & Funding: N/A

Location: Krakow, Poland

Founders: Wojtek Burkot, Paulina Mazurek, Witek Jarnicki

About: BEIT is a quantum computing software R&D company developing novel quantum algorithms and their implementations with the aim of pushing the boundary of what is possible on quantum hardware.

Stage & Funding: Seed, $4.1M

Location: Riga, Latvia

Founders: Girts Kronbergs, Maris Kronbergs, Girts Valdis Kristovskis

About: Entangle offers quantum-secure encryption for connecting mission-critical infrastructure and industrial IoT over public mobile networks.

Stage & Funding: Bootstrapped

Location: Zvodno, Slovenia

Founders: Andraz Bole, Nejc Lesek

About: Lightmass Dynamics provides Quantum Neural Models based-solution for simulation and visualization. The company offers an application framework that can be integrated into any existing physics or rendering software for real-time physics simulation and visualization.

Stage & Funding: Seed, $120,000

Location: Warsaw, Poland

Founders: Janusz Lewiski, Sebastian Gawlowski

About: Nanoxo is a chemical company designing and manufacturing various functional materials, including quantum dots.

Stage & Funding: Seed, $253,000

Location: Tallinn, Estonia

Founders: Guillermo Vidal

About: OpenQbit stands for the development of hardware and software easy to use with quantum technology. They provide anyone with the tools necessary to create devices that use quantum technology, machine learning, and neural networks.

Stage & Funding: N/A

Location: Patras, Archaia, Greece

Founders: Vasilis Armaos, Paraskevas Deligiannis, and Dimitris Badounas

About: The startups intention is to simulate drugs, chemicals, materials, and other quantum systems by utilizing quantum computing hardware that already exists. The team at PiDust is made up of quantum computing experts, physicists, software developers, and chemists.

Stage & Funding: N/A

Location: Bankya, Bulgaria

Founders: Boris Grozdanoff, Zdravko Popov, Svetoslav Sotirov

About: QAISEC foresees a future where AI technology serves humanity and does not endanger it. They believe that where human-made crypto algorithms fail physics never does. They are using quantum encryption solutions for finance, industry, state, entertainment, healthcare, critical infrastructure, and communications.

Stage & Funding: N/A

Location: Wroclaw, Poland

Founders: Artur Podhorodecki

About: They develop blue-light emitting, heavy metal-free quantum dots for advanced technology markets, and quantum dot-based inks, for printable optoelectronics.

Stage & Funding: early VC, $5.8M

Location: Prague, Czech Republic

Founders: Michal Krelina

About: Quantum.Phi provides consulting, analytics, and research services in quantum technologies (including quantum computing and simulation, quantum network and communication, quantum imaging, and quantum measurement). It specializes in applications for the space, security, and defense industry.

Stage & Funding: N/A

Location: Warsaw, Poland

Founders: Piotr Migda, Ph.D., Klem Jankiewicz

About: The company develops a no-code integrated development environment (IDE) for quantum computers to design, debug, unit-test, and deploy quantum algorithms for business.

Stage & Funding: Seed, $260,000

Location: Athens, Greece

Founders: Dr. Aggelos Tiskas, Dr. Takis Psarogiannakopoulos

About: The companys High-Performance Quantum Simulator (HPQS) is designed to specialize in Variational Quantum Algorithms (VQAs) and Machine Learning (ML) tasks. This will enable the automation of high-level, abstract quantum circuit generation and optimize it for efficient resource usage.

Stage & Funding: N/A

Location: Miercurea-Ciuc, Romania

Founders: Laureniu Ni

About: Quarks Interactive is the startup that developed Quantum Odyssey, the first game where you can learn the concepts of quantum computing. The startup also works with big IT companies, such as IBM, to create software that can power these unique computers.

Stage & Funding: Seed, 230,000

Location: Tallinn, Estonia

Founders: Petar Korponai

About: Quantastica builds software tools and solutions for hybrid quantum-classical computing.

Stage & Funding: $220,000

Location: d, Poland

Founders: Tomasz Szczeniak, Michal Andrzejczak,

About: They are building a cryptography accelerator through which any electronic device can be protected against quantum computer attacks. They use post-quantum standards recommended by the National Institute of Standards and Technology (NIST) for secure end-to-end encryption. One of the main features of the solution is crypto agility, enabling a wide area of application.

Stage & Funding: Seed, 450,000

Location: Zagreb, Croatia

Founders: Hrvoje Kukina

About: A Quantum AI startup working on quantum-enhanced machine learning (mostly deep reinforcement learning).

Stage & Funding: N/A

Location: Kepno, Wielkopolskie, Poland

Founders: Arkadii Romanenko, Igor Lykvovyi, Leszek Sawicki, Ruslana Dovzhyk

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CEE Is Getting Ready for the Future with Quantum Technology: 25+ ... - The Recursive

From humble beginnings of one small room in the RUCH Engineering Building, to now expansive multi-million dollar laboratories in the Micron Center for Material Research building, the world-class materials research at Boise State University exists no where else in the world according to Dr. Ryan Pensack, qDNAs Ultrafast Laser Spectroscopy Team Lead.

In the last six years, the Nanoscale Materials and Device group has developed its facilities in leaps and bounds. Researchers Bernie Yurke, Will Huges, Jeunghoon Lee and Elton Graugnard since 2000 have advanced the research progress.

Now, the Nanoscale Materials and Device Group branched off into research areas and fields of study to include nanophotonics, gate oxide studies, multi-dielectric dand diagram programs, magnetic shape memory alloys, 3-D tech for advanced sensor systems and DNA nanotechnology.

Under the DNA nanotechnology field, a research group has been established the Quantum DNA Research Group (qDNA). The collaboration of five science and engineering teams, one management team with over 30 faculty, staff and students ranging 10 academic disciplines resulted in what the university is known for: innovation.

Dr. Ryan D. Pensack was hired on as the lead for qDNAs Ultrafast Laser Spectroscopy Team after his position from 2015-2017 as a postdoctoral research associate in the research group of Prof. Gregory Scholes at Princeton University.

From 2012-2015, he was a postdoctoral fellow in Scholes group at the University of Toronto. Alongside Pensack, Dr. Paul H. Davis led the tour exhibiting the achievements of the research team.

The collaboration Id say is unique, it sets us up to be competitive nationally and internationally actually, said Pensack during The Arbiters tour of the laboratories, led by both Pensack and Dr. Paul H. Davis.

Funding from the Department of Energy, Idaho National Laboratory, Laboratory Directed Research and Development, Office of Naval Research and other supporters provided the equipment the teams work with. In 2021, the Department of Energy granted the qDNA Team $5 million to further their efforts into phase II of attempting quantum entanglement.

For those unfamiliar with the term, quantum entanglement is a phenomenon when two particles become strongly dependent on one another and the physical states of those particles cannot be recognized as separate from the other. Dr. Pensack and Dr. Davis use the metaphor of a spinning coin to create a visual for quantum entanglement.

Dr. Paul Davis serves as the surface science lab manager, co-lead and co-director on the Ultrafast Spectroscopy Team.

When its spinning, its neither heads nor tails, and thats what the cubit is a superposition state, both heads and tails, Davis said.

Later, Pensack explained this through a demonstration with coins. When spun, the blue side and the orange side of the coin are continually moving. Davis said how the number of revolutions of a coin (particle) relates to the speed of the spinning, and the speed of the spinning relates to the strength of coupling. The length of a spinning coin or particle is referred to as its lifetime.

The excited state of these particles give off energy as a resource, which can be a tool for development in quantum mechanics; therefore, quantum computing.

In quantum information science we think about a third state which is actually a combination of the two: its the spinning coin heads or tails, blue or orange, Pensack said.

On Sept. 20, Nanoscale Materials and Device Group published the High-sensitivity electronic Stark spectrometer featuring a laser-driven light source in the Review of Scientific Instruments. The Stark spectrometer was engineered by the Ultrafast Spectroscopy Team. Spectrometers are used to measure wavelengths of light in relation to matter.

The spectrometer measures the property of pigments that enables them to interact such that we can realize entanglement, Pensack said.

Dr. Katelyn Duncan, a postdoctoral research fellow, and Dr. Johnathan Huff, a graduate research assistant, offered their insight on the instrument, mentioning that the entire setup is custom made and built according to Duncan. She alongside Pensack and Huff finalized measurements together.

Huff walked The Arbiter through the samples they utilized on the instrument, such as dye solutions, and the process of how the Stark Spectrometer works.

The work the qDNA team has done has received national recognition. Two of the teams technical manuscripts were featured in National Nanotechnology Initiative (NNI), the National Nanotechnology Initiative Supplement to the Presidents 2023 Budget submitted to Congress March 8, 2022. The team has submitted over 30 technical manuscripts and academic articles, in 2023 the dDNA published 12 articles so far.

We are all very passionate about what we do, Pensack said. While our main mission is this notion of room temperature quantum computing, there will be spin-offs of what we do. The new knowledge we create could be used to help serve society.

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Research leaders at Boise state are taking the science of quantum ... - Boise State University The Arbiter Online

UNSW has retained its status as the regions leading start-up university,the most recentSurvey of Commercialisation Outcomes from Public Research (SCOPR) Summary Report reveals.

UNSW recorded 12 spinout companies in 2022, in fields ranging from artificial intelligence, quantum computing, clean energy and sustainable packagingthrough to medical treatments for chronic pain and tools to diagnose autism spectrum disorder.

Dr Dax Kukulj, UNSW Acting Director of Business Development & Commercialisation, said the ranking recognisedUNSWs leadership in innovation.

UNSW continues to be a trailblazer in higher education, with incredibly strong results being generated by its Staff Spinout Framework, UNSW Industry & Innovation team and entrepreneurship initiative UNSW Founders.

The UNSW innovation ecosystem is driving research, entrepreneurship and innovation with local and global impact.

Computing company Diraq, founded by CEO Professor Andrew Dzurak, aims to redefine scalable quantum computing and deliver the true potential and transformative power of quantum computing applications to the world via billions of qubits on a single chip.

Diraq is rapidly positioning itself as a leading player in the field of quantum computing, distinguishing itself as a full-stack company that covers all aspects of the stack, from hardwareto software.

One of Diraqs key strengths lies in its innovative hardware,constructed using a novel technology known as spins in silicon,invented by Prof. Dzurak during his tenure at UNSW.

UNSW Canberra Space spinout Infinity Avionics had humble beginnings as a research project. Honoured as Australian Space Startup of the Year in 2023, it was recognised for its high-quality Earth observation data, which is becoming crucial for various industries and applications.

Infinity Avionics was co-founded by UNSW alumnus Igor Dimitrijevic, now the companys CEO, and Damith Abeywardana, now Managing Director.

Their precision-engineered space products include optical, thermal and radiation sensors designed for space asset monitoring, space robotics and space-based manufacturing.

Infinity Avionics also produces high-resolution cameras that capture images of the Earth's surface for environmental monitoring, disaster response, and urban planning.

The University ranked as the top Australian and New Zealand (ANZ) university for new patent family applications with 47,rankingsecond overalljust behind CSIRO with 51 patents.

Dr Kukulj said the result underscoredthe strength of research and innovation at the University. UNSW has recorded a significant milestone by coming in at number one for patent applications by the University sector, and number two across the ANZ region.

The patents are in a range of sectors covering clean energy, photovoltaics, materials science, medical devices and biotech.

The SCOPR report shows that 422 patented technologies were recorded last year and 281 non-patented technologies. UNSW is punching above its weight with 47 patents recorded.

Spinouts established in 2022 include:

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UNSW tops spinout company rankings for second consecutive year - UNSW Newsroom

Quantum computers promise to reach speeds and efficiencies impossible for even the fastest supercomputers of today. Yet the technology hasnt seen much scale-up and commercialization largely due to its inability to self-correct. Quantum computers, unlike classical ones, cannot correct errors by copying encoded data over and over. Scientists had to find another way.

Now, a new paper in Nature illustrates a Harvard quantum computing platforms potential to solve the longstanding problem known as quantum error correction.

Leading the Harvard team is quantum optics expert Mikhail Lukin, the Joshua and Beth Friedman University Professor in physics and co-director of the Harvard Quantum Initiative. The work reported in Nature was a collaboration among Harvard, MIT, and Boston-based QuEra Computing. Also involved was the group of Markus Greiner, the George Vasmer Leverett Professor of Physics.

An effort spanning the last several years, the Harvard platform is built on an array of very cold, laser-trapped rubidium atoms. Each atom acts as a bit or a qubit as its called in the quantum world which can perform extremely fast calculations.

Harvard physicists Mikhail Lukin (foreground) and Markus Greiner work with a quantum simulator.

File photo by Jon Chase/Harvard Staff Photographer

The teams chief innovation is configuring their neutral atom array to be able to dynamically change its layout by moving and connecting atoms this is called entangling in physics parlance mid-computation. Operations that entangle pairs of atoms, called two-qubit logic gates, are units of computing power.

Running a complicated algorithm on a quantum computer requires many gates. However, these gate operations are notoriously error-prone, and a buildup of errors renders the algorithm useless.

In the new paper, the team reports near-flawless performance of its two-qubit entangling gates with extremely low error rates. For the first time, they demonstrated the ability to entangle atoms with error rates below 0.5 percent. In terms of operation quality, this puts their technologys performance on par with other leading types of quantum computing platforms, like superconducting qubits and trapped-ion qubits.

However, Harvards approach has major advantages over these competitors due to its large system sizes, efficient qubit control, and ability to dynamically reconfigure the layout of atoms.

Weve established that this platform has low enough physical errors that you can actually envision large-scale, error-corrected devices based on neutral atoms, said first author Simon Evered, a Harvard Griffin Graduate School of Arts and Sciences student in Lukins group. Our error rates are low enough now that if we were to group atoms together into logical qubits where information is stored non-locally among the constituent atoms these quantum error-corrected logical qubits could have even lower errors than the individual atoms.

The Harvard teams advances are reported in the same issue of Nature as other innovations led by former Harvard graduate student Jeff Thompson, now at Princeton University, and former Harvard postdoctoral fellow Manuel Endres, now at California Institute of Technology. Taken together, these advances lay the groundwork for quantum error-corrected algorithms and large-scale quantum computing. All of this means quantum computing on neutral atom arrays is showing the full breadth of its promise.

These contributions open the door for very special opportunities in scalable quantum computing and a truly exciting time for this entire field ahead, Lukin said.

The research was supported by the U.S. Department of Energys Quantum Systems Accelerator Center; the Center for Ultracold Atoms; the National Science Foundation; the Army Research Office Multidisciplinary University Research Initiative; and the DARPA Optimization with Noisy Intermediate-Scale Quantum Devices program.

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Self-correcting quantum computers within reach? Harvard Gazette - Harvard Gazette