Category Archives: Quantum Computing

Paris, December 4, 2020 Atos introduces Q-score, the first universal quantum metrics, applicable to all programmable quantum processors. Atos Q-score measures a quantum systems effectiveness at handling real-life problems, those which cannot be solved by traditional computers, rather than simply measuring its theoretical performance. Q-score reaffirms Atos commitment to deliver early and concrete benefits of quantum computing. Over the past five years, Atos has become a pioneer in quantum applications through its participation in industrial and academic partnerships and funded projects, working hand-in-hand with industrials to develop use-cases which will be able to be accelerated by quantum computing.

Faced with the emergence of a myriad of processor technologies and programming approaches, organizations looking to invest in quantum computing need a reliable metrics to help them choose the most efficient path for them. Being hardware-agnostic, Q-score is an objective, simple and fair metrics which they can rely on, said Elie Girard, Atos CEO. Since the launch of Atos Quantum in 2016, the first quantum computing industry program in Europe, our aim has remained the same: advance the development of industry and research applications, and pave the way to quantum superiority.

What does Q-score measure?

Today the number of qubits (quantum units) is the most common figure of merit for assessing the performance of a quantum system. However, qubits are volatile and vastly vary in quality (speed, stability, connectivity, etc.) from one quantum technology to another (such as supraconducting, trapped ions, silicon and photonics), making it an imperfect benchmark tool. By focusing on the ability to solve well-known combinatorial optimization problems, Atos Q-score will provide research centers, universities, businesses and technological leaders with explicit, reliable, objective and comparable results when solving real-world optimization problems.

Q-score measures the actual performance of quantum processors when solving an optimization problem, representative of the near-term quantum computing era (NISQ - Noisy Intermediate Scale Quantum). To provide a frame of reference for comparing performance scores and maintain uniformity, Q-score relies on a standard combinatorial optimization problem, the same for all assessments (the Max-Cut Problem, similar to the well-known TSP - Travelling Salesman Problem, see below). The score is calculated based on the maximum number of variables within such a problem that a quantum technology can optimize (ex: 23 variables = 23 Q-score or Qs).

Atos will organize the publication of a yearly list of the most powerful quantum processors in the world based on Q-score. Due in 2021, the first report will include actual self-assessments provided by manufacturers.

Based on an open access software package, Q-score is built on 3 pillars:

A free software kit, which enables Q-score to be run on any processor will be available in Q1 2021. Atos invites all manufacturers to run Q-score on their technology and publish their results.

Thanks to the advanced qubit simulation capabilities of the Atos Quantum Learning Machine (Atos QLM), its powerful quantum simulator, Atos is able to calculate Q-score estimates for various platforms. These estimates take into account the characteristics publicly provided by the manufacturers. Results range around a Q-score of 15 Qs, but progress is rapid, with an estimated average Q-score dating from one year ago in the area of 10 Qs, and an estimated projected average Q-score dating one year from now to be above 20 Qs.

Q-score has been reviewed by the Atos Quantum Advisory Board, a group of international experts, mathematicians and physicists authorities in their fields, which met onDecember 4, 2020.

Understanding Q-score using the Travelling Salesman Problem (TSP)

Today's most promising application of quantum computing is solving large combinatorial optimization problems. Examples of such problems are the famous TSP problem and the less notorious but as important Max-Cut problem.

Problem statement: a traveler needs to visit N number of cities in a round-tour, where distances between all the cities are known and each city should be visited just once. What is the absolute shortest possible route so that he visits each city exactly once and returns to the origin city?

Simple in appearance, this problem becomes quite complex when it comes to giving a definitive, perfect answer taking into account an increasing number of N variables (cities). Max-Cut is a more generic problem, with a broad range of applications, for instance in the optimization of electronic boards or in the positioning of 5G antennas.

Q-score evaluates the capacity of a quantum processor to solve these combinatorial problems.

Q-score, Quantum Performance, and Quantum Superiority

While the most powerful High Performance Computers (HPC) worldwide to come in the near term (so called exascale) would reach an equivalent Q-score close to 60, today we estimate, according to public data, that the best Quantum Processing Unit (QPU) yields a Q-score around 15 Qs. With recent progress, we expect quantum performance to reach Q-scores above 20 Qs in the coming year.

Q-score can be measured for QPUs with more than 200 qubits. Therefore, it will remain the perfect metrics reference to identify and measure quantum superiority, defined as the ability of quantum technologies to solve an optimization problem that classical technologies cannot solve at the same point in time.

As per the above, Atos estimates quantum superiority in the context of optimization problems to be reached above 60 Qs.

Atos commitment to advance industry applications of quantum computing

The year 2020 represents an inflexion point in the quantum race, with the identification of the first real-life problems or applications which are unable to be solved in the classical world but may be able to be solved in the quantum world. As for any disruptive technology, envisaging the related applications (as well as necessary ethical limitations) is a major step towards conviction, adoption and success. This is exactly where Atos sees its main role.

Leveraging the Atos QLM and Atos unique expertise in algorithm development, the Group coordinates the European project NEASQC - NExt ApplicationS of Quantum Computing, one of the most ambitious projects which aims to boost near-term quantum applications and demonstrates quantum superiority. NEASQC brings together academics and manufacturers, motivated by the quantum acceleration of their business applications. These applications will be further supported by the release in 2023 of the first Atos NISQ accelerator, integrating qubits in an HPC - High Performance Computing architecture.

Below are some examples of applications from NEASQC industrial partners that could be accelerated by quantum computing:

To learn more about NEASQC and the use-cases above (as well as others), please visit https://neasqc.eu/

Bob Sorensen, Senior Vice President of Research, Chief Analyst for Quantum Computing at Hyperion Research, LLC, comments: Leveraging its widely acknowledged expertise in supercomputing, Atos is working to provide quantum computing users with early and tangible computational advantage on various applications by building on its Atos Quantum R&D program, with the aim of delivering near-term results through a hybrid quantum supercomputing approach.The launch of Q-score is a key innovative step that offers a way for the quantum computing community to better characterize gains by focusing on real-life use-cases.

On Friday, December 4, 2020, the Group will hold a media conference call in English at 12pm CET, chaired by Elie Girard, CEO, and Cyril Allouche, Fellow, Head of the Atos Quantum R&D Program, in order to present Q-score and answer questions from the press. Members of the Atos Quantum Advisory Board will be present. After the conference, a replay of the webcast will be available. Journalists can register to the press conference at: https://quantum-press-conference-atos.aio-events.com/105/participation_form

Atos Quantum Advisory Board members are:

To learn more about Q-score, please visit: https://atos.net/en/solutions/q-score

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About Atos Atos is a global leader in digital transformation with 110,000 employees in 73 countries and annual revenue of 12 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos|Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Press contact:Marion Delmas | marion.delmas@atos.net | +33 6 37 63 91 99

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Atos announces Q-score, the only universal metrics to assess quantum performance and superiority - GlobeNewswire

1 December

The Quantum Inspire consortium has received a 4.5 million euro grant from the Dutch Research Council (NWO) to bring quantum technology closer to potential users. We hope that different people from all parts of society will interact with Quantum Inspire, so that we can work together to figure out the full range of possibilities offered to our society by quantum computing including which societal challenges it will be able to solve, said Lieven Vandersypen, coordinator of the grant application and research director of Qutech.

Quantum technology is expected to find applications in many different fields, such as energy, food supply, security and health care. Being an emerging technology, however, not much people in these fields are actively investigating its potential yet. And even if they wanted to, where would they go? Getting access to a quantum computer is not exactly easy.

This why Quantum Inspire was started: people can run their own quantum algorithms on Quantum Inspires simulators or hardware backends and experience the possibilities of quantum computing. Qutech launched a first version of Quantum Inspire in April 2020, and the grant will allow the consortium to develop it further.

Quantum Inspires capital infusion is funded by the Dutch National Research Agenda (NWA) program Research along routes by consortia (NWA-ORC). In total, NWO distributed 93 million euros over 21 interdisciplinary research projects.

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NWA funding for taking quantum technology to the public Bits&Chips - Bits&Chips

02Dec2020

Regional web aims to connect processors capable of exchanging qubits over optical fiber.

The QuTech collaboration, which is pioneering the application of quantum technologies in The Netherlands, has launched plans to build a high-speed quantum network connecting the Randstad metropolitan region.

According to project leaders at Technical University of Delft and the TNO research organization, the effort will focus on connecting quantum processors across a significant distance.

The aim is to build the very first fully functional quantum network using high-speed fiber connections, they announced. A quantum network is a radically new internet technology, with the potential for creating pioneering applications.

Optical channelsBy connecting quantum processors to each other via optical channels, such a network would enable the exchange of quantum bits - the basic units of quantum information upon which quantum computers are built.

Also known as qubits, these units enable high-security quantum communication. QuTech says that these connections are expected to evolve over time towards a global quantum network, allowing additional applications in areas like position verification, clock synchronization, and computation with external quantum computers.

Among other things, the project is intended to lead to new techniques, insights and standards that will bring a quantum network closer, stated the collaboration, which also includes telecoms firm KPN, Dutch ICT development organization SURF, and a VU Amsterdam spin-out company called Optical Positioning Navigation and Timing (OPNT).

QuTech adds that all existing quantum networks are based on a simpler technology, suggesting that the new Randstad project will represent a fully functional approach.

Different parties in the collaboration each contribute their own areas of expertise, it announced. Ultimately, the mix of skills will help to create a programmable quantum network that connects quantum processors in different cities.

Quantum ecosystemErwin van Zwet, Internet Division Engineering Lead at QuTech, added: Working with these partners, we expect to have taken significant steps towards a quantum network by the end of the project.

Acknowledging that the technology required is still at an early stage, the four parties involved in the collaboration say that they stand to benefit from joining forces right now.

Wojciech Kozlowski, a postdoctoral researcher at QuTech with responsibility for one of the work packages defined in the project, said: Every day we are working on finding answers to the question of how network operators, such as KPN or SURF, can deploy a quantum network, and what sort of services they can offer their users.

Although we are still in an early stage of development, we are already building the quantum internet ecosystem of the future by working with key partners. This ecosystem will prove crucial as our quantum network evolves into a fully-fledged quantum internet.

The Dutch Research Council (NWO) has also awarded a new 4.5million grant to an interdisciplinary consortium including QuTech aiming to bring quantum technology closer to potential users across society through the "Quantum Inspire" platform.

The platform, based around a 50-qubit quantum computer, is set to gain a more intuitive and easily accessible user interface, with a view to future commercial use.

Lieven Vandersypen, the director of research at QuTech, said that the new program would see greater availability of Quantum Inspire to students, the general public, industry, and government.

"We hope that different people from all parts of society will interact with Quantum Inspire, so that we can work together to figure out the full range of possibilities offered to our society by quantum computing including which societal challenges it will be able to solve," Vandersypen added.

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Netherlands team to build high-speed quantum network - Optics.org

Quantum Computing is often referred to as an artificial kidney. Its function is to remove the excess wastes and fluid from the blood when the patients kidneys can no longer perform that task. Quantum Computings are made of thin, fibrous material.

Overview of the worldwide Quantum Computing market:There is coverage of Quantum Computing market dynamics at the country level in the respective regional segments. The report comprises competitive analysis with a focus on key players and participants of Quantum Computing Industry covering in-depth data related to the competitive landscape, positioning, company profiles, key strategies adopted, and product-profiling with focus on market growth and potential.

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Impact of COVID-19:

Quantum Computing Market report analyses the impact of Coronavirus (COVID-19) on the Quantum Computing industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Quantum Computing market in 2020.

The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.

COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.

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The market research report covers the analysis of key stakeholders of the Quantum Computing market. Some of the leading players profiled in the report include:

Research Objective

The report is useful in providing answers to several critical questions that are important for the industry stakeholders such as manufacturers and partners, end-users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

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Covid-19 Impact on Global Quantum Computing Market (2020-2026) | Potential growth, attractive valuation make it is a long-term investment | Top...

A classical computer uses binary digits with the two possible states of 1 or 0, a quantum computer uses qubits that can exist in multiple states simultaneously. Linking qubits together holds the potential to increase processing power exponentially, which in turn would have a huge impact on the world in a number of ways.

From speeding up the process of developing effective cancer medicines to aiding the advance of other emerging technologies, a range of exciting applications of the technology have been predicted. One example would be a drastic reduction in the time it takes to create and train artificial intelligence, which would make the technology far more accessible than it currently is.

Spurred on by ambitions to make this revolutionary technology a reality, the likes of Google and IBM have made long, high-profile strides in the last five years, with scientists and engineers closing in on targets of creating 100 qubit systems. Though the world has seen rapid quantum computing progress in recent years, the foundations for this progress were laid in the midst of the previous century.

Having already played an important role in the development of the atomic bomb, the famous physicist, Richard Feynman, turned his attention to quantum electrodynamics in the mid-nineteen sixties. This field relates to the way that electrons interact with one another, governed by photons and electromagnetic forces. His research into this area prompted the important prediction that antiparticles are just normal particles moving backwards in time.

This theoretical work from Feynman marks an important foothold at the beginning of the journey toward the developments in quantum computing today, with Einstein himself having doubted the use of Quantum Theory, preferring solid predictions and observation as a basis for exploring physics. It was this thinking from Feynman that would eventually expand to explore the relationship between binary numbers and quantum systems.

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From Feynman to the freezing: the history of quantum computing - IDG Connect

BEIJING--(BUSINESS WIRE)--The preliminary round of the 2020-2021 ASC Student Supercomputer Challenge (ASC20-21) officially kicked off on November 16, 2020. More than 300 university teams from five continents registered to participate in this competition. Over the next two months, they will be challenged in several cutting-edge applications of Supercomputing and AI. The 20 teams that eventually make out of the preliminaries will participate in the finals from May 8 to 12, 2021 at Southern University of Science and Technology in Shenzhen, China. During the finals, they will compete for various awards including the Champion, Silver Prize, Highest LINPACK, and e- Prize.

Among the registered participants for ASC20-21 are three prior champion teams: the SC19/SC20 champion team of Tsinghua University, the ISC20 champion team of University of Science and Technology of China, and the ASC19 champion of National Tsing Hua University. Other power competitors include teams from University of Washington (USA), University of Warsaw (Poland), Ural Federal University (Russia), Monash University (Australia), EAFIT University (Columbia) and so much more.

For the tasks of this preliminary round of merged ASC20 and ASC21, the organizing committee has retained the quantum computing simulation and language exam tasks from the ASC20, and added a new fascinating, cutting-edge task in astronomy -- searching for pulsars.

Pulsars are fast-spinning neutron stars, and remnants of collapsed super stars. Pulsars feature a high density and strong magnetic field. By observing and studying the extreme physic of pulsars, the scientists can delve into the mysterious space around black holes and detect the gravitational waves triggered from the intense merge of super massive black holes in distant galaxies. Because of the unique nature of pulsars, the Nobel Prize in physics has been awarded twice for pulsar-related discoveries. Using radio telescopes over the previous decades, astronomers have discovered nearly 3,000 pulsars with 700 being discovered by PRESTO, the open-source pulsar search and analysis software. In ASC20-21, the participants are asked to use PRESTO from its official website, and the observational data from Five-hundred-meter Aperture Spherical radio Telescope (FAST), the worlds largest single-dish radio telescope located in Guizhou, China, operated by National Astronomical Observatories, Chinese Academy of Sciences. Participating teams should achieve the applications maximum parallel acceleration, while searching for a pulsar in the FAST observational data loaded in the computer cluster they build. Practically the teams will need to understand the pulsar search process, complete the search task, analyze the code, and optimize the PRESTO application execution, by minimizing the computing time and resources.

The quantum computing simulation task will require each participating team to use the QuEST (Quantum Exact Simulation Toolkit) running on computer cluster to simulate 30 qubits in two cases: quantum random circuits (random.c), and quantum fast Fourier transform circuits (GHZ_QFT.c). Quantum simulations provides a reliable platform for studying of quantum algorithms, which are particularly important because quantum computers are not practically available yet in the industry.

The Language Exam task will require all participating teams to train AI models on an English Cloze Test dataset, striving to achieve the highest "test scores". The dataset covers multiple levels of English language tests used in China.

This years ASC training camp will be held on November 30 to help the participating teams from all around the world prepare for the competition. HPC and AI experts from Chinese Academy of Sciences, Peng Cheng Laboratory, State Key Laboratory of High-end Server & Storage Technology will introduce in details the competition rules, computer cluster build and optimization, and provide guidance.

About ASC

The ASC Student Supercomputer Challenge is the worlds largest student supercomputer competition, sponsored and organized by Asia Supercomputer Community in China and supported by Asian, European, and American experts and institutions. The main objectives of ASC are to encourage exchange and training of young supercomputing talent from different countries, improve supercomputing applications and R&D capacity, boost the development of supercomputing, and promote technical and industrial innovation. The first ASC Student Supercomputer Challenge was held in 2012 and since has attracted nearly 10,000 undergraduates from all over the world. Learn more ASC at https://www.asc-events.org/.

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ASC20-21 Student Supercomputer Challenge Kickoff: Quantum Computing Simulations, AI Language Exam and Pulsar Searching with FAST - Business Wire

November 23, 2020• Physics 13, 183

Classical computers can efficiently simulate the behavior of quantum computers if the quantum computer is imperfect enough.

With a few quantum bits, an ideal quantum computer can process vast amounts of information in a coordinated way, making it significantly more powerful than a classical counterpart. This predicted power increase will be great for users but is bad for physicists trying to simulate on a classical computer how an ideal quantum computer will behave. Now, a trio of researchers has shown that they can substantially reduce the resources needed to do these simulations if the quantum computer is imperfect [1]. The arXiv version of the trios paper is one of the most Scited papers of 2020 and the result generated quite a stir when it first appeared back in FebruaryI overheard it being enthusiastically discussed at the Quantum Optics Conference in Obergurgl, Austria, at the end of that month, back when we could still attend conferences in person.

In 2019, Google claimed to have achieved the quantum computing milestone known as quantum advantage, publishing results showing that their quantum computer Sycamore had performed a calculation that was essentially impossible for a classical one [2]. More specifically, Google claimed that they had completed a three-minute quantum computationwhich involved generating random numbers with Sycamores 53 qubitsthat would take thousands of years on a state-of-the-art classical supercomputer, such as IBMs Summit. IBM quickly countered the claim, arguing that more efficient memory storage would reduce the task time on a classical computer to a couple of days [3]. The claims and counterclaims sparked an industry clash and an intense debate among supporters in the two camps.

Resolving the disparity between these estimates is one of the goals of the new work by Yiqing Zhou, of the University of Illinois at UrbanaChampaign, and her two colleagues [1]. In their study, they focused on algorithms for classically replicating imperfect quantum computers, which are also known as NISQ (noisy intermediate-scale quantum) devices [4]. Todays state-of-the-art quantum computersincluding Sycamoreare NISQ devices. The algorithms the team used are based on so-called tensor network methods, specifically matrix product states (MPS), which are good for simulating noise and so are naturally suited for studying NISQ devices. MPS methods approximate low-entangled quantum states with simpler structures, so they provide a data-compression-like protocol that can make it less computationally expensive to classically simulate imperfect quantum computers (see Viewpoint: Pushing Tensor Networks to the Limit).

Zhou and colleagues first consider a random 1D quantum circuit made of neighboring, interleaved two-qubit gates and single-qubit random unitary operations. The two-qubit gates are either Controlled-NOT gates or Controlled-Z (CZ) gates, which create entanglement. They ran their algorithm for NISQ circuits containing different numbers of qubits, N, and different depths, Da parameter that relates to the number of gates the circuit executes (Fig. 1). They also varied a parameter in the MPS algorithm. is the so-called bond dimension of the MPS and essentially controls how well the MPS capture entanglement between qubits.

The trio demonstrate that they can exactly simulate any imperfect quantum circuit if D and N are small enough and is set to a value within reach of a classical computer. They can do that because shallow quantum circuits can only create a small amount of entanglement, which is fully captured by a moderate . However, as D increases, the team finds that cannot capture all the entanglement. That means that they cannot exactly simulate the system, and errors start to accumulate. The team describes this mismatch between the quantum circuit and their classical simulations using a parameter that they call the two-qubit gate fidelity fn. They find that the fidelity of their simulations slowly drops, bottoming out at an asymptotic value f as D increases. This qualitative behavior persists for different values of N and . Also, while their algorithm does not explicitly account for all the error and decoherence mechanisms in real quantum computers, they show that it does produce quantum states of the same quality (perfection) as the experimental ones.

In light of Googles quantum advantage claims, Zhou and colleagues also apply their algorithm to 2D quantum systemsSycamore is built on a 2D chip. MPS are specifically designed for use in 1D systems, but the team uses well-known techniques to extend their algorithm to small 2D ones. They use their algorithm to simulate an N=54, D=20 circuit, roughly matching the parameters of Sycamore (Sycamore has 54 qubits but one is unusable because of a defect). They replace Googles more entangling iSWAP gates with less entangling CZ gates, which allow them to classically simulate the system up to the same fidelity as reported in Ref. [2] with a single laptop. The simulation cost should increase quadratically for iSWAP-gate circuits, and although the team proposes a method for performing such simulations, they have not yet carried them out because of the large computational cost it entails.

How do these results relate to the quantum advantage claims by Google? As they stand, they do not weaken or refute claimswith just a few more qubits, and an increase in D or f, the next generation of NISQ devices will certainly be much harder to simulate. The results also indicate that the teams algorithm only works if the quantum computer is sufficiently imperfectif it is almost perfect, their algorithm provides no speed up advantage. Finally, the results provide numerical insight into the values of N, D, f, and for which random quantum circuits are confined to a tiny corner of the exponentially large Hilbert space. These values give insight into how to quantify the capabilities of a quantum computer to generate entanglement as a function of f, for example.

So, whats next? One natural question is, Can the approach here be transferred to efficiently simulate other aspects of quantum computing, such as quantum error correction? The circuits the trio considered are essentially random, whereas quantum error correction circuits are more ordered by design [5]. That means that updates to the new algorithm are needed to study such systems. Despite this limitation, the future looks promising for the efficient simulation of imperfect quantum devices [6, 7].

Jordi Tura is an assistant professor at the Lorentz Institute of the University of Leiden, Netherlands. He also leads the institutes Applied Quantum Algorithms group. Tura obtained his B.Sc. degrees in mathematics and telecommunications and his M.Sc. in applied mathematics from the Polytechnic University of Catalonia, Spain. His Ph.D. was awarded by the Institute of Photonic Sciences, Spain. During his postdoctoral stay at the Max Planck Institute of Quantum Optics in Germany, Tura started working in the field of quantum information processing for near-term quantum devices.

A nanopatterned magnetic structure features an unprecedently strong coupling between lattice vibrations and quantized spin waves, which could lead to novel ways of manipulating quantum information. Read More

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Imperfections Lower the Simulation Cost of Quantum Computers - Physics

Kenneth Research has published a detailed report on Quantum Computing Market which has been categorized by market size, growth indicators and encompasses detailed market analysis on macro trends and region-wise growth in North America, Latin America, Europe, Asia-Pacific and Middle East & Africa region. The report also includes the challenges that are affecting the growth of the industry and offers strategic evaluation that is required to boost the growth of the market over the period of 2019-2026.

The report covers the forecast and analysis of the Quantum Computing Market on a global and regional level. The study provides historical data from 2015 to 2019 along with a forecast from 2019-2026 based on revenue (USD Million). In 2018, the worldwide GDP stood at USD 84,740.3 Billion as compared to the GDP of USD 80,144.5 Billion in 2017, marked a growth of 5.73% in 2018 over previous year according to the data quoted by International Monetary Fund. This is likely to impel the growth of Quantum Computing Marketover the period 2019-2026.

The Final Report will cover the impact analysis of COVID-19 on this industry.

Request To Download Sample of This Strategic Report:https://www.kennethresearch.com/sample-request-10307113The report provides a unique tool for evaluating the Market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets capacities and on the changing structure of the Quantum Computing.

The quantum annealing category held the largest share under the technology segment in 2019. This is attributed to successful overcoming of physical challenges to develop this technology and further incorporated in bigger systems. The BFSI category held the largest share in the quantum computing market in 2019. This is owing to the fact that the industry is growing positively across the globe, and large banks are focusing on investing in this potential technology that can enable them to streamline their business processes, along with unbeatable levels of security

Automotive to lead quantum computing market for consulting solutions during forecast periodAmong the end-user industries considered, space and defense is the largest contributor to the overall quantum computing market, and it is expected to account for a maximum share of the market in 2019. The need for secure communications and data transfer, with the demand in faster data operations, is expected to boost the demand for quantum computing consulting solutions in this industry. The market for the automotive industry is expected to grow at the highest CAGR

Quantum computing can best be defined as the use of the attributes and principles of quantum mechanics to perform calculations and solve problems. The global market for quantum computing is being driven largely by the desire to increase the capability of modeling and simulating complex data, improve the efficiency or optimization of systems or processes, and solve problems with more precision. A quantum system can process and analyze all data simultaneously and then return the best solution, along with thousands of close alternatives all within microseconds, according to a new report from Tractica.

2018 was a growth year for the market, as businesses from the BFSI sector showed tremendous interest in quantum computing and the trend is likely to continue in 2019 and beyond. Moreover, the public sector presents significant growth opportunity for the market. In the forthcoming years, the application opportunities for quantum computing is expected to expand further, which may lead to a higher commercial interest in the technology.

Market SegmentationThe report focuses on the following end-user sectors and applications for quantum computing:By Based on offering*Consulting solutions*Systems

By End-user sectors*Government.*Academic.*Healthcare.*Military.*Geology/energy.*Information technology.*Transport/logistics.*Finance/economics.*Meteorology.*Chemicals.

By Applications*Basic research.*Quantum simulation.*Optimization problems.*Sampling.

By Regional AnanlysisNorth America*U.S.*Canada

Europe*Germany*UK*France*Italy*Spain*Belgium*Russia*Netherlands*Rest of Europe

Asia-Pacific*China*India*Japan*Korea*Singapore*Malaysia*Indonesia*Thailand*Philippines*Rest of Asia-Pacific

Latin America*Brazil*Mexico*Argentina*Rest of LATAM

Middle East & Africa*UAE*Saudi Arabia*South Africa*Rest of MEA

The quantum computing market is highly competitive with high strategic stakes and product differentiation. Some of the key market players include International Business Machines (IBM) Corporation, Telstra Corporation Limited, IonQ Inc., Silicon Quantum Computing, Huawei Investment & Holding Co. Ltd., Alphabet Inc., Rigetti & Co Inc., Microsoft Corporation, D-Wave Systems Inc., Zapata Computing Inc., and Intel Corporation.

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Competitive Analysis:The Quantum Computing Market report examines competitive scenario by analyzing key players in the market. The company profiling of leading market players is included in this report with Porters five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.

About Kenneth Research:

Kenneth Research is a reselling agency which focuses on multi-client market research database. The primary goal of the agency is to help industry professionals including various individuals and organizations gain an extra edge of competitiveness and help them identify the market trends and scope. The quality reports provided by the agency aims to make decision making easier for industry professionals and take firm decisions which helps them to form strategies after complete assessment of the market. Some of the industries under focus include healthcare & pharmaceuticals, ICT & Telecom, automotive and transportation, energy and power, chemicals, FMCG, food and beverages, aerospace and defense and others. Kenneth Research also focuses on strategic business consultancy services and offers a single platform for the best industry market research reports.

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Quantum Computing Market : Analysis and In-depth Study on Size Trends, and Regional Forecast - Cheshire Media

In this weeks podcast, Enrique Blair on quantum computing, Walter Bradley Center director Robert J. Marks talks with fellow computer engineer Enrique Blair about why Quantum mechanics pioneer Niels Bohr said, If quantum mechanics hasnt profoundly shocked you, you havent understood it yet. Lets look at some of the reasons he said that:

The Show Notes and transcript follow.

Enrique Blair: Its really quite different from our daily experience. Quantum mechanics really is a description of the world at the microscopic scale. And its really weird, because there are things that initially we thought maybe were particles but then we learned that they have wave-like behaviors. And there are other things that we thought were waves and then we discovered they have particle-like behaviors.

But thats hardly the strangest part. The strangest part is that a quantum particle does not actually have a position until we measure it, according to the generally accepted Copenhagen interpretation of quantum mechanics.

Robert J. Marks: Whats the Copenhagen interpretation?

Enrique Blair (pictured): Its that the quantum mechanical wave function describes measurement outcomes in probabilities. You cant predict with certainty the outcome of a measurement. Which is really shocking, because in the classical world, if you have a particle and you know its position and its velocity, you can predict where its going to be in the next second or minute or hour. Now in quantum mechanics, the really weird thing is, we say that a particle doesnt even have a position until you measure its position.

Robert J. Marks: It doesnt exist?

Enrique Blair: Not that it doesnt exist, but its position is not defined.

Dr. Marks compared quantum mechanics (QM) to one of the characters in a 1999 film, Mystery Men, featuring inept amateur superheroes, including one who says, Im invisible as long as nobodys looking at me. With QM, thats not a joke. The quantum particle doesnt have a position until we measure it. But how did we discover this? The story goes back to the early 1800s when British physicist Thomas Young (17731829) did a famous experiment with a card held up to a small window

Enrique Blair: Youngs double-slit experiment goes all the way back to 1801, where Young shot light at a couple of slits and then the light passing through the slits would show up on a screen behind them.

So light behaves like a wave, with interference patterns. But what happens when we try doing the same thing with a single particle of lighta photon? Thats something we can do nowadays.

Enrique Blair: We can reduce a beam of light so that its single photon. One photon is emitted at a time, and were shooting it at our double slit again.

What happens when each particle of light goes through these slits? Well, each particle splats up against this screen, and so you can know where the photon hits. But if you do this over a long period of time, the interference pattern shows up again. You have particles hitting the screen, so we see the particle behavior. But we also see the interference pattern which suggests that okay, weve got some wave interference going on here.

So the only way to explain both of these at the same time is that each photon, which is an indivisible packet of light, has to go through both slits at the same time and interfere with itself, and then the buildup of many, many photons gives you that interference pattern.

Robert J. Marks: A particle was hypothesized to go through both slits?

Enrique Blair: Yes, and thats the mind-blowing ramification of this thing.

Robert J. Marks: How do we decide which slit the particles go through? Suppose we went down and we tried to measure? We put out one photon and we put it through the double slit. Weve tried to measure which slit it went through. If its a particle, it can only go through one, right?

Enrique Blair: Right. That introduces this concept of measurement. Like you said, which slit does it go through? Now the interesting thing is, if we know which slit it goes through maybe we set up a detector and we say, Hey, did it go through Slit One or Slit Two? we detect that, we measure it and the interference pattern goes away because now its gone through one slit only, not both.

Robert J. Marks: Just by the act of observation, we are restricting that photon to go through one slit or the other. Observation really kind of screws things up.

Enrique Blair: Thats right. This is one of the things that is hard to understand about quantum mechanics. In the classical world that we deal with every day, we can just observe something and we dont have to interact with it. So we can measure somethings position or its velocity without altering it. But in quantum mechanics, observation or measurement inherently includes interacting with that thing, that particle.

Again, youve got this photon that goes through both slits, but then you measure it and it actually ends up going through oneonce you measure it.

Robert J. Marks: This reminds me again of Invisible Boy in Mystery Men. The photon goes through one of the two slits while youre looking at it. Unless you look away. Then it goes through both slits.

Enrique Blair: Right. Very tricky, those photons.

Next: How scientists have learned to work with the quantum world

Note: The illustration of the double-slit experiment in physics is courtesy NekoJaNekoJa and Johannes Kalliauer (CC BY-SA 4.0).

You may also enjoy: A materialist gives up on determinism. Evolutionary biologist Jerry Coyne undercuts his own argument against free will by admitting that quantum phenomena are real (Michael Egnor)

Quantum randomness gives nature free will. Whether or not quantum randomness explains how our brains work, it may help us create unbreakable encryption codes (Robert J. Marks)

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Here's Why the Quantum World Is Just So Strange - Walter Bradley Center for Natural and Artificial Intelligence

In a new realm of materials, PhD student Thanh Nguyen uses neutrons to hunt for exotic properties that could power real-world applications.

Thanh Nguyen is in the habit of breaking down barriers. Take languages, for instance: Nguyen, a third-year doctoral candidate in nuclear science and engineering (NSE), wanted to connect with other people and cultures for his work and social life, he says, so he learned Vietnamese, French, German, and Russian, and is now taking an MIT course in Mandarin. But this drive to push past obstacles really comes to the fore in his research, where Nguyen is trying to crack the secrets of a new and burgeoning branch of physics.

My dissertation focuses on neutron scattering on topological semimetals, which were only experimentally discovered in 2015, he says. They have very special properties, but because they are so novel, theres a lot thats unknown, and neutrons offer a unique perspective to probe their properties at a new level of clarity.

Topological materials dont fit neatly into conventional categories of substances found in everyday life. They were first materialized in the 1980s, but only became practical in the mid-2000s with deepened understanding of topology, which concerns itself with geometric objects whose properties remain the same even when the objects undergo extreme deformation. Researchers experimentally discovered topological materials even more recently, using the tools of quantum physics.

Within this domain, topological semimetals, which share qualities of both metals and semiconductors, are of special interest to Nguyen.They offer high levels of thermal and electric conductivity, and inherent robustness, which makes them very promising for applications in microelectronics, energy conversions, and quantum computing, he says.

Intrigued by the possibilities that might emerge from such unconventional physics, Nguyen is pursuing two related but distinct areas of research: On the one hand, Im trying to identify and then synthesize new, robust topological semimetals, and on the other, I want to detect fundamental new physics with neutrons and further design new devices.

My goal is to create programmable artificial structured topological materials, which can directly be applied as a quantum computer, says Thanh Nguyen. Credit: Gretchen Ertl

Reaching these goals over the next few years might seem a tall order. But at MIT, Nguyen has seized every opportunity to master the specialized techniques required for conducting large-scale experiments with topological materials, and getting results. Guided by his advisor,Mingda Li, the Norman C Rasmussen Assistant Professor and director of theQuantum Matter Groupwithin NSE, Nguyen was able to dive into significant research even before he set foot on campus.

The summer, before I joined the group, Mingda sent me on a trip to Argonne National Laboratory for a very fun experiment that used synchrotron X-ray scattering to characterize topological materials, recalls Nguyen. Learning the techniques got me fascinated in the field, and I started to see my future.

During his first two years of graduate school, he participated in four studies, serving as a lead author in three journal papers. In one notable project,described earlier this yearinPhysical Review Letters, Nguyen and fellow Quantum Matter Group researchers demonstrated, through experiments conducted at three national laboratories, unexpected phenomena involving the way electrons move through a topological semimetal, tantalum phosphide (TaP).

These materials inherently withstand perturbations such as heat and disorders, and can conduct electricity with a level of robustness, says Nguyen. With robust properties like this, certain materials can conductivity electricity better than best metals, and in some circumstances superconductors which is an improvement over current generation materials.

This discovery opens the door to topological quantum computing. Current quantum computing systems, where the elemental units of calculation are qubits that perform superfast calculations, require superconducting materials that only function in extremely cold conditions. Fluctuations in heat can throw one of these systems out of whack.

The properties inherent to materials such as TaP could form the basis of future qubits, says Nguyen. He envisions synthesizing TaP and other topological semimetals a process involving the delicate cultivation of these crystalline structures and then characterizing their structural and excitational properties with the help of neutron and X-ray beam technology, which probe these materials at the atomic level. This would enable him to identify and deploy the right materials for specific applications.

My goal is to create programmable artificial structured topological materials, which can directly be applied as a quantum computer, says Nguyen. With infinitely better heat management, these quantum computing systems and devices could prove to be incredibly energy efficient.

Energy efficiency and its benefits have long concerned Nguyen. A native of Montreal, Quebec, with an aptitude for math and physics and a concern for climate change, he devoted his final year of high school to environmental studies. I worked on a Montreal initiative to reduce heat islands in the city by creating more urban parks, he says. Climate change mattered to me, and I wanted to make an impact.

At McGill University, he majored in physics. I became fascinated by problems in the field, but I also felt I could eventually apply what I learned to fulfill my goals of protecting the environment, he says.

In both classes and research, Nguyen immersed himself in different domains of physics. He worked for two years in a high-energy physics lab making detectors for neutrinos, part of a much larger collaboration seeking to verify the Standard Model. In the fall of his senior year at McGill, Nguyens interest gravitated toward condensed matter studies. I really enjoyed the interplay between physics and chemistry in this area, and especially liked exploring questions in superconductivity, which seemed to have many important applications, he says. That spring, seeking to add useful skills to his research repertoire, he worked at Ontarios Chalk River Laboratories, where he learned to characterize materials using neutron spectroscopes and other tools.

These academic and practical experiences served to propel Nguyen toward his current course of graduate study. Mingda Li proposed an interesting research plan, and although I didnt know much about topological materials, I knew they had recently been discovered, and I was excited to enter the field, he says.

Nguyen has mapped out the remaining years of his doctoral program, and they will prove demanding. Topological semimetals are difficult to work with, he says. We dont yet know the optimal conditions for synthesizing them, and we need to make these crystals, which are micrometers in scale, in quantities large enough to permit testing.

With the right materials in hand, he hopes to develop a qubit structure that isnt so vulnerable to perturbations, quickly advancing the field of quantum computing so that calculations that now take years might require just minutes or seconds, he says. Vastly higher computational speeds could have enormous impacts on problems like climate, or health, or finance that have important ramifications for society. If his research on topological materials benefits the planet or improves how people live, says Nguyen, I would be totally happy.

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Cracking the Secrets of an Emerging Branch of Physics: Exotic Properties to Power Real-World Applications - SciTechDaily