Category Archives: Quantum Computing

Published on Tuesday, September 14, 2021

Several teams from the University of Chicago and Duality the worlds first accelerator focused exclusively on quantum technologies are pitching at the 2021 Chicago Venture Summit.

The venture capital conference takes place September 27-29 and brings together leading venture capital investors and innovation ecosystem leaders with founders.

>> Register for the Deep Tech Showcase, here.

Kicking off the conference on Monday, September 27, the Polsky Center for Entrepreneurship and Innovation and Argonnes Chain Reaction Innovations program are hosting the 2021 Deep Tech Showcase as part of the larger event. The virtual showcase is from 2:00 to 3:30 p.m. (CST).

The Chicago Venture Summit has evolved to one of the Midwest regions largest VC events and a must-attend event for national investors, said Abin Kuriakose, executive vice president of innovation and venture strategy for World Business Chicago the City of Chicagos economic development organization chaired by the Mayor, and the organizers of the Chicago Venture Summit. We couldnt be more proud to showcase our citys most promising founders, many of them from the UChicago, Duality, and CRI ecosystems.

UChicago and Duality teams pitching include:

// AddGraft Therapeutics is developing a CRISPR-based therapeutic technology using skin cells to treat addiction. The researchers have developed a therapeutic platform that, through a one-time and first-of-its-kind treatment, will effectively cure someone of alcohol use disorder (AUD). The treatment is long-lasting, highly effective, and minimally invasive.

This is completed by using skin epidermal progenitor cells to deliver one or more therapeutic agents. First, the researchers harvest skin stem cells from an AUD patient and genetically modify them using a precise molecular scissor CRISPR. This process will introduce genes that can produce molecules that will significantly reduce the motivation to take or seek alcohol. Then, they re-implant these skin cells into the original host through a skin graft. After the graft has been re-implanted, the skin graft is able to produce these molecules as a bio engine throughout the lifetime of the graft.

Team members:

// Arrow Immuneis developing next-generation biologics for immuno-oncology in solid tumors. The company is developing protein engineering technology to retain IO molecules in the tumor microenvironment, both to function as monotherapies and to enhance response to checkpoint inhibitor immunotherapy.

The company has developed a powerful approach to mask these compounds such that they are inactive in the periphery yet are activated within the tumor, to limit immune-related adverse events and open the therapeutic window.

Team members:

// Axion Technologies is a Tallahassee, FL-based company, developing a quantum random number generator for high-performance computing systems. Its design enables embedding of unique digital signatures for hardware authentication. The company has received a NSF SBIR award.

Team members:

// Esya Labs mission is the early, precise, and cost-effective detection of neurodegenerative diseases. Its first-in-class product for Alzheimers Diseasewill provide a 360-degree perspective enabling early diagnosis, a personalized treatment plan based on ranked drug effectiveness for any given patient, and monitoring disease progression.

The platform uses synthetic DNA strands that have been engineered to function in a specific way. These so-called DNA nanodevices are used to measure lysosomes performance by creating chemical maps of their activity a process that had previously not been possible. The company in

Team members:

// Nanopattern Technologies is commercializing a quantum dot ink that enables the manufacturing of the next generation of energy-efficient, bright, and fast refresh rate displays and recently received a $1 million NSF SBIR grant.

In addition to displays, NanoPatterns patented technology is capable of patterning oxide nanoparticles for optics applications and Near Infrared (NIR) quantum dots for multispectral sensor applications.

Team members:

// qBraid is developing a cloud-based platform for managed access to other quantum computing software and hardware. The platform includes qBraid Learn and qBraid Lab. qBraid Learn is ready to host any courses developed by the quantum computing ecosystem, but the team has also developed their own educational content. qBraid provides a streamlined experience for first-time learners through its QuBes (quantum beginners) course. Hosted on the qBraid-learn platform, QuBes brings students up to speed on all the background knowledge (mathematics, coding, and physics) necessary to then introduce quantum computing.

qBraid-Lab provides a cloud-based integrated development environment (IDE) for quantum software developers. Unlike other in-browser development platforms, qBraids ecosystem specifically optimizes for quantum computing by providing development environments with all common quantum computing packages pre-installed.

The platform is being used by more than 2500 users from top universities, financial institutions, and various national labs. qBraid has also announced recent collaborations with various government agencies (Quantum Algorithms Institute in British Columbia, the Chicago Quantum Exchange, and the QuSteam) in the US and Canada.

Team members:

// Quantopticon, based in the UK, develops software for simulating quantum-photonic devices. The software has applications chiefly in the budding fields of quantum computing and ultra-secure quantum communications.

Quantopticon specializes in modelling quantum systems of the solid-state type, which are commonly embedded in cavity structures in order to control and enhance specific optical transitions.Its software for modelling interactions of light with matter is underpinned by an original and proprietary general methodology developed by the team from first principles.

The purpose of their software is ultimately to save quantum-optical designers time and money, by eliminating the need to carry out repeated experiments to test and optimize physical prototypes.

Team members:

// Super.tech is developing software that accelerates quantum computing applications by optimizing across the system stack from algorithms to control pulses. The company in August announced the launch of a software platform endeavoring to make quantum computing commercially viable years sooner than otherwise possible.

The platform, calledSuperstaQ, connects applications to quantum computers from IBM Quantum, IonQ, and Rigetti, and optimizes software across the system stack to boost the performance of the underlying quantum computers.

Team members:

Of the teams presenting, Axion, qBraid, Quantopticon, and Super.tech were selected from a competitive pool of applicants from all over the globe and vetted by an internal review process to participate in Cohort 1 of Duality.

Launched in April 2021,Duality is the first-of-its-kind accelerator aimed at supporting next-generation startups focused on quantum science and technology. The 12-month program provides world-class business and entrepreneurship training from theUniversity of Chicago Booth School of Business, Polsky Center, and the opportunity to engage the networks, facilities, and programming from the Chicago Quantum Exchange, the University of Illinois Urbana-Champaign, Argonne National Laboratory, and P33.

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UChicago, Duality Teams to Pitch at 2021 Chicago Venture Summit - Polsky Center for Entrepreneurship and Innovation - Polsky Center for...

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Explore Trends and COVID-19 Impact on Quantum Computing Market 2021 Research Report and Industry Forecast till 2027 | Know More Stillwater Current -...

Most scientists agree that a fully-fledged quantum computer is still over a decade away, but this isn't stopping companies from investigating how the technology might boost their business outcomes.

Quantum computers have captured the imagination of scientists for many decades, and now they are coming to the attention of deep-pocketed investors, too.

According to market data analyst Pitchbook,this year has already seen $1.02 billion worth of private money funneled into the quantum computing industry-- more than the three previous years combined, even with still another few months to go in 2021.

This compares to a mere $187.5 million invested in the industry only two years ago and a total of $93.5 million all the way back in 2015.

See also: What is quantum computing? Everything you need to know about the strange world of quantum computers

To a large extent, this is simply due to the industry expanding. According to another analysis from consultant McKinsey, quantum computing startups have increased from a handful in 2013 to nearly 200 in 2020.

And with growth has come a clearer timeline for when quantum computers might start delivering on their extraordinary promises. Last year, IBM led the way inunveiling its roadmap for quantum computingand teased a 1,121-qubit processor for 2023, which the company sees as a tipping point to overcome the hurdles limiting the commercialization of quantum systems.

Smaller companies have also made similar announcements. US-based startup ColdQuanta, which is building a quantum processor based on cold atoms,launched a 100-qubit processor this year, which it hopes to upgrade to 1,000 qubits in the next three years.

PsiQuantum, another US-based quantum company, has for its part committed to building a full-scale quantum computer by 2025.

Investor money isn't far behind those developments. "Quantum computing has been around since the 1980s, but over the past few years, we've come closer to both scaling the technology to a point where it can be used in real life as well as identifying initial use cases," Itzik Parnafes, general partner at Battery Ventures, tells ZDNet.

Quantum computers are built with qubits -- the quantum version of the bits that are currently found in any traditional computer. Qubits are capable of storing huge amounts of data, equipping quantum computers with exponential amounts of compute power that could enable them to carry out calculations that would be impossible to resolve with current machines.

The technology, say researchers,will in principle cause breakthroughs in virtually every industry, ranging from drug design to supply chain managementthrough finance, transport and energy.

That is, in principle. Qubits are extremely difficult to manipulate. Most companies in the space are still working on building a quantum computer that actually works at a large scale, meaning that there is very little that the technology has proven so far.

Most scientists agree that a fully-fledged quantum computer is still over a decade away, but this isn't stopping companies from investigating how the technology might boost their business outcomes once it is mature enough to be commercialized.

Goldman Sachs, for example,is looking at ways that quantum algorithms could optimize the pricing of portfolio assetsbased on the risk that is inherent to different options, stocks, currencies and commodities. In transport, car manufacturer Daimler isexploring how quantum computers could simulate new materialsto develop higher-performing, longer-lasting and less expensive car batteries.

See also: Quantum computing: How BMW is getting ready for the next technology revolution.

According to Pitchbook, the field is so active that there could be some early use cases emerging in as little as three to five years, even if the technology is yet to be fully mature. This aligns with other predictions: Goldman Sachs said that quantum algorithmscould start improving the outcomes of financial operations in only five years.

"While a so-called fault-tolerant universal quantum computer might be years away because we need more science to reach this point, we already have quantum computing architectures that will solve problems of interest for end-users in this time frame," Christophe Jurczac, managing partner of deep physics venture fund Quantonation, tells ZDNet.

"We should think about these processors as special purpose co-processors, a little bit like GPUs or AI chips in the high performance computing world. They will solve problems, not all of them but many of practical interest," he continues.

Jurczac sees those co-processors starting to play a role in fields like drug design in a couple of years, which is contributing to aggressive VC investment in the field. According to Quantonation's estimates, the total capital invested in quantum computing by the end of 2021 could reach up to $3 billion, when including announced SPACs and IPOs.

The most significant deals feature PsiQuantum, which secured a $450 million round this year to reach a valuation of $3.15 billion. IonQ, which is another contender in the race to build a useful quantum computer, is planning to go public by merging with a SPAC at a valuation of $2 billion. And startups like Zapata Computing, Quantum Machines, Rigetti and Xanadu have all raised multi-million rounds over the past couple of years.

The numbers might seem high, especially for a technology that is yet to do anything useful. Jurczac acknowledges the risk of over-hyping quantum computing, but he also stresses that the industry is at a stage where it most needs VC cash.

See also:Quantum computers could read all your encrypted data. This 'quantum-safe' VPN aims to stop that.

Since the future of quantum computing lies in the development of hardware, significant capital investments are needed and even bigger deals are likely to be announced in the coming years.

"We need more investors and more funding, and also more projects," says Jurczac. "It is just the beginning and referring to the value creation that's expected in the long-term up to $850 billion according to a recent report by BCG -- I think that we should not be surprised that we see such deals, especially for late-stage companies."

Last June, Battery Ventures participated in a $50 million investment in Quantum Machines, a startup that is developing a "quantum orchestration platform" that makes it easier and more practical to control quantum hardware and software.

With this investment, the VC fund is hoping to grow the wider quantum ecosystem, rather than focusing purely on quantum processors, in a move that the company describes to ZDNet as "taking us closer than ever to utilizing the computing potential."

But despite those encouraging prospects, Battery Ventures is keeping a cool head. "We'll have to wait for the future in order to look back and acknowledge whether quantum is currently over-hyped," Parnafes tells ZDNet. And as the industry grows more, it is likely to become even harder to distinguish quantum computers' promises from reality.

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Quantum computing is at an early stage. But investors are already getting excited - ZDNet

LOS ALAMITOS, Calif.,Sept. 9, 2021 The IEEE International Conference on Quantum Computing and Engineering (QCE21), a multidisciplinary event featuring over 300 hours of programming in the realm of quantum computing and engineering, announces its advance conference program.Taking place virtually17-22 October 2021, QCE21 will deliver 10 world-class keynote presentations,19 workforce-building tutorials,23 community-building workshops,48 technical paper presentations,18 stimulating panels, and30 innovative posters, and35 diverse exhibitorsfrom the worldwide quantum computing and engineering ecosystem.

Early registration endsMonday, September 20Register today.

Bridging the gap between the science of quantum computing and the development of an industry surrounding it, QCE21, also known as Quantum Week, will focus on key quantum computing topics covering research, practice, applications, education, and training.

We were very pleased with the success from the inaugural Quantum Week 2020, which included over 800 people from 45 countries and 225 companies attended the premier event which delivered 270+ hours of programming on quantum computing and engineering,said Hausi Mller, General Chair QCE21 and Co-Chair IEEE Quantum Initiative. Throughcontinued participation from our world-class sponsors, volunteers, speakers, authors, and the international quantum community, we look forward to building on our solid foundation for the future.

QCE21skeynote speakersinclude the following quantum leaders:

TheQCE21 Registration Packageprovides Virtual Access to IEEE Quantum WeekOct 17-22, 2021as well as On-Demand Access to all recorded events until the end ofDecember 2021. The QCE21 live event will take place during Mountain Daylight Time (MDT).

VisitIEEE QCE21to download the advance conference program, see the full list of speakers and abstracts, and view all event news including sponsors and exhibitors.

Register hereto be a part of IEEE Quantum Week 2021 early registration ends 20 September.

About the IEEE Computer Society

TheIEEE Computer Societyis the worlds home for computer science, engineering, and technology. A global leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a comprehensive array of unmatched products, services, and opportunities for individuals at all stages of their professional career. Known as the premier organization that empowers the people who drive technology, the IEEE Computer Society offers international conferences, peer-reviewed publications, a unique digital library, and training programs.

Source:IEEE Computer Society

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IEEE International Conference on Quantum Computing and Engineering Reveals Advance Conference Program - HPCwire

While quantum computers arealready here, they're very much limited prototypes for now.

It's going to take a while before they're fulfilling anything close to their maximum potential, and we can use them the way we do regular (classical) computers. That moment is now a little nearer though, as scientists have got three entangledqubitsoperating together on a single piece of silicon.

It's the first time that's ever been done, and the silicon material is important: that's what the electronics inside today's computers are based on, so it's another advancement in bridging the gap between the quantum and classical computing realms.

Qubits are the quantum equivalent of the standard bits inside a conventional computer: they can represent several states at once, not just a 1 or a 0, which in theory means an exponential increase in computing power.

The real magic happens when these qubits are entangled, or tightly linked together.

As well as increases in computing power, the addition of more qubits means better error correction a key part of keeping quantum computers stable enough to use them outside of research laboratories.

"Two-qubit operation is good enough to perform fundamental logical calculations," says quantum physicist Seigo Tarucha, from the Riken research institute in Japan.

"But a three-qubit system is the minimum unit for scaling up and implementing error correction."

Using silicon dots as the basis of their qubits means a high level of stability and control can be applied to them, the researchers say. Silicon also makes it more practical to scale these systems up, which is something the team is keen to do in the future.

The process involved entangling two qubits to begin with, in what's known as a two-qubit gate a standard building block of quantum computers. That gate was then combined with a third qubit with an impressively high fidelity of 88 percent (a measure of how reliable the system is).

Each of the quantum silicon dots holds a single electron, with its spin-up and spin-down states doing the encoding. The setup also included an integrated magnet, enabling each qubit to be controlled separately using a magnetic field.

On its own, this isn't going to suddenly put a quantum computer on our desks the setup still required ultra-cold temperatures to operate, for example but together with the other advancements we're seeing, it's undoubtedly a solid step forward.

What's more, the researchers think there's plenty more to come from quantum silicon dots linking together more and more qubits in the same circuit. Full-scale quantum computers could be closer than we think.

"We plan to demonstrate primitive error correction using the three-qubit device and to fabricate devices with ten or more qubits," says Tarucha.

"We then plan to develop 50 to 100 qubits and implement more sophisticated error-correction protocols, paving the way to a large-scale quantum computer within a decade."

The research has been published in Nature Nanotechnology.

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For The First Time, Scientists Have Entangled Three Qubits on Silicon - ScienceAlert

New collaborative research describes how electrons move through two different configurations of bilayer graphene, the atomically-thin form of carbon. These results provide insights that researchers could use to design more powerful and secure quantum computing platforms in the future.

Researchers describe how electrons move through two-dimensional layered graphene, findings that could lead to advances in the design of future quantum computing platforms.

New research published in Physical Review Letters describes how electrons move through two different configurations of bilayer graphene, the atomically-thin form of carbon. This study, the result of a collaboration between Brookhaven National Laboratory, the University of Pennsylvania, the University of New Hampshire, Stony Brook University, and Columbia University, provides insights that researchers could use to design more powerful and secure quantum computing platforms in the future.

Todays computer chips are based on our knowledge of how electrons move in semiconductors, specifically silicon, says first and co-corresponding author Zhongwei Dai, a postdoc at Brookhaven. But the physical properties of silicon are reaching a physical limit in terms of how small transistors can be made and how many can fit on a chip. If we can understand how electrons move at the small scale of a few nanometers in the reduced dimensions of 2-D materials, we may be able to unlock another way to utilize electrons for quantum information science.

When a material is designed at these small scales, to the size of a few nanometers, it confines the electrons to a space with dimensions that are the same as its own wavelength, causing the materials overall electronic and optical properties to change in a process called quantum confinement. In this study, the researchers used graphene to study these confinement effects in both electrons and photons, or particles of light.

The work relied upon two advances developed independently at Penn and Brookhaven. Researchers at Penn, including Zhaoli Gao, a former postdoc in the lab of Charlie Johnson who is now at The Chinese University of Hong Kong, used a unique gradient-alloy growth substrate to grow graphene with three different domain structures: single layer, Bernal stacked bilayer, and twisted bilayer. The graphene material was then transferred onto a special substrate developed at Brookhaven that allowed the researchers to probe both electronic and optical resonances of the system.

This is a very nice piece of collaborative work, says Johnson. It brings together exceptional capabilities from Brookhaven and Penn that allow us to make important measurements and discoveries that none of us could do on our own.

The researchers were able to detect both electronic and optical interlayer resonances and found that, in these resonant states, electrons move back and forth at the 2D interface at the same frequency. Their results also suggest that the distance between the two layers increases significantly in the twisted configuration, which influences how electrons move because of interlayer interactions. They also found that twisting one of the graphene layers by 30 also shifts the resonance to a lower energy.

Devices made out of rotated graphene may have very interesting and unexpected properties because of the increased interlayer spacing in which electrons can move, says co-corresponding author Jurek Sadowski from Brookhaven.

In the future, the researchers will fabricate new devices using twisted graphene while also building off the findings from this study to see how adding different materials to the layered graphene structure impacts downstream electronic and optical properties.

We look forward to continuing to work with our Brookhaven colleagues at the forefront of applications of two-dimensional materials in quantum science, Johnson says.

Reference: Quantum-Well Bound States in Graphene Heterostructure Interfaces by Zhongwei Dai, Zhaoli Gao, Sergey S. Pershoguba, Nikhil Tiwale, Ashwanth Subramanian, Qicheng Zhang, Calley Eads, Samuel A. Tenney, Richard M. Osgood, Chang-Yong Nam, Jiadong Zang, A.T. Charlie Johnson and Jerzy T. Sadowski, 20 August 2021, Physical Review Letters.DOI: 10.1103/PhysRevLett.127.086805

The complete list of co-authors includes Zhaoli Gao (now at The Chinese University of Hong Kong), Qicheng Zhang, and Charlie Johnson from Penn; Zhongwei Dai, Nikhil Tiwale, Calley Eads, Samuel A. Tenney, Chang-Yong Nam, and Jerzy T. Sadowski from Brookhaven; Sergey S. Pershogub, and Jiadong Zang from the University of New Hampshire; Ashwanth Subramanian from Stony Brook University; and Richard M. Osgood from Columbia University.

Charlie Johnson is the Rebecca W. Bushnell Professor of Physics and Astronomy in the Department of Physics and Astronomy in the School of Arts & Sciences at the University of Pennsylvania.

This research was supported by National Science Foundation grants MRSEC DMR- 1720530 and EAGER 1838412. Brookhaven National Laboratory is supported by the U.S. Department of Energys Office of Science.

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Atomically-Thin, Twisted Graphene Has Unique Properties That Could Advance Quantum Computing - SciTechDaily

In July, the European Organisation for Nuclear Research (Cern) announced it would deploy quantum computers (QCs) to power its search for fundamental particles. Unlike a decade ago, QCs are no more tentative prototypes, but fast emerging as a viable tool for niche practical applications ranging from designing novel materials to enabling drug discovery.

QCs are now available as a cloud-based service to anyone with an internet connection. We will see the unveiling of more powerful QCs over the next five years. How prepared is India to ride the quantum technology wave?

Introduced as an idea by Nobel-winning physicist Richard Feynman in the early 1980s, QCs are not merely faster versions of the computers we use but are machines based on the laws of quantum physics. A typical QC hardware computes by manipulating electrons and nuclei using electromagnetic radiation from lasers. The technology is complex as precise control over these delicate manipulation schemes is necessary to perform calculations. If this technology can be mastered, QCs promise, at least for a certain class of problems, unprecedented computational speeds not attainable even by the fastest supercomputers available today.

Barring a few premier institutions, quantum computing is not yet part of the curriculum in most Indian universities and colleges. This issue must be addressed through a programme to skill faculty, enabling them to teach engineering and science undergraduates. By 2024, Indias software developer community is expected to be the largest in the world. By training this community, India can create a quantum workforce for itself and the world.

GoI and the industry must support interdisciplinary research and development in quantum science and technologies. As part of the National Mission on Quantum Technologies and Applications (NM-QTA), the 2020 budget had committed 8,000 crore. Also, a Technology Innovation Hub (TIH) for quantum technologies has been set up at Indian Institute of Science Education and Research (IISER), Pune, focused on translating research into products and services. These investments must increase. At present, private investments are lacking. Industry and PSUs must be incentivised to evaluate and work on applications relevant to their domain.

Quantum technologies include a whole gamut of interrelated technologies quantum cryptography, quantum sensors, quantum materials, quantum meteorology, etc. Products based on quantum cryptography for secure communications are already available in the market. However, unambiguous evidence of societal benefits of QCs is still lacking. Demonstrating a few showcase applications is critical to persuade industry to invest in quantum technologies. These applications could be in drug discovery, logistics and optimisation, new materials, fintech, machine learning and defence. This will have a cascading effect of seeding a vibrant quantum startup ecosystem leading to job-creation and economic growth.

India must build its own competitively sized QC in mission mode by pooling its existing academic expertise. A few indigenous QCs will give India a voice in shaping the future of quantum computing. With the right policy framework and incentives, India has the potential to become a key player in a global quantum technology market anticipated to reach $31.57 billion (2.32 lakh crore) by 2026. This will generate more technical jobs in the coming decades. India must move fast to respond to the fast-evolving quantum landscape.

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View: Its the Spacetime to Quantum - Economic Times

IBM recently held two briefings on their Power10 platform and their Partner Ecosystem, which is one of the richest in the market.

For Power10, they had Pfizer talk about how Power has been critical to their operations and success. In addition, in their Partner event, IBM spoke about an effort with Mercedes Benz to use quantum computing to understand battery technology better and create something revolutionary when it comes to stored electrical energy.

Lets talk about both of these efforts by IBM.

IBM has two major cloud initiatives outside of their own IBM Cloud offering. They are the hybrid cloud and the multicloud, and they dovetail with each other nicely. But the dominant server architecture in the cloud is Intels X86, and displacing a technology as dominant as X86 isnt a viable strategy. However, designing a part that does a few things better than X86 is doable, because Intels platform has to be a jack-of-all-trades, making it very difficult for it to be a master of any of them.

Scott Growth, Pfizers ERP architect, indicated that IBMs Power platform and the breakthroughs they have collectively had on it changed many patients lives for the better. He testified that this platform allowed him to deploy 19K virtual threads over the 1,300 cores they have deployed. This ability to massively share CPU resources has been critical to their enterprise SAP deployment through a single instance. They dont think any other platform can provide the same massive workload on a similar relatively small resource.

One of the significant areas of focus is the idea of a frictionless hybrid cloud where data and applications can move seamlessly between the two environments and likely across multiple cloud providers depending on the need. Their new generation, the IBM Power E-1080 Servers, promises 30% more performance and 52% less energy usage over their prior generation. A new memory architecture also promises a 2.5x improvement in memory RAS. With embedded AI capabilities coupled with advanced recovery and automatic self-healing, the Power 10 platform looks as impressive as Pfizer indicated and well-differentiated in the market.

IBM was one of the first companies to research quantum computing, which is expected to be a significant game changer for the kinds of analytical loads. For several years, I was the lead battery analyst for the U.S., and during that time, I visited IBMs labs where they were working on a lithium-ion replacement called lithium-air. That research continues promising lower costs, faster charging, higher power densities, higher energy efficiency, and lower flammability.

But beyond this, IBM shared that they were working with Mercedes Benz, one of the automotive companies attempting to pivot from the internal combustion engine (ICE) to electric vehicles (EVs), aggressively on a new battery architecture. IBMs battery work goes back decades, and the related research primarily used conventional computers. While they are a leader in quantum computing, providing early practical applications of this new computing power has proven daunting.

Using quantum computing to understand better how existing batteries work and then using the related information to create a new battery class is inspired. If successful, this battery advancement effort should not only create a far more capable battery but a leading and prominent example of the benefits of using quantum computing in applied product research. Success would tend to move the perceptions of quantum computing from near fantasy to practical reality, opening up demand for quantum computing tied to practical business applications.

In short, this effort might not just improve batteries. It could validate a general-purpose use for quantum computing far earlier than anticipated, creating a stronger foundation for the eventual birth of a quantum computing market.

IBM recently had two powerful announcements: their Power 10 platform and E-1080 server providing a critical solution for those looking to leverage central computing resources and create frictionless hybrid environments massively; and their work with Mercedes to create a next-generation battery to power tomorrows cars through the IBM Partner Ecosystem.

IBM continues to do significant research and create unique product innovations that could eventually change the world.

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IBM Moves to Step Out From the Pack With Quantum and Power 10 - Datamation

The business intelligence report on Quantum Computing in Health Care market consists of vital data regarding the growth catalysts, restraints, and other expansion prospects that will influence the market dynamics during 2021-2026. Moreover, it delivers verifiable projections for through a comparative study of the past and present scenario. It claims that the Quantum Computing in Health Care market size is slated to expand with a CAGR of xx% during of the analysis timeline.

Executive summary

The study provides a detailed overview of the market segmentation and offers valuable insights pertaining to revenue prospects, sales, market share of each segment. It further incorporates an in-depth analysis of the competitive hierarchy while highlighting the major market players, as well as the emerging contenders and new entrants.

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Market analysis structure

Product terrain summary

Application spectrum review:

Competitive hierarchy overview:

Regional landscape outline

Research objectives

To study and analyze the global Quantum Computing in Health Care consumption (value & volume) by key regions/countries, type and application, history data from 2016 to 2020, and forecast to 2026.

To understand the structure of Quantum Computing in Health Care market by identifying its various subsegments.

Focuses on the key global Quantum Computing in Health Care manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.

To analyze the Quantum Computing in Health Care with respect to individual growth trends, future prospects, and their contribution to the total market.

To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

To project the consumption of Quantum Computing in Health Care submarkets, with respect to key regions (along with their respective key countries).

To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

To strategically profile the key players and comprehensively analyze their growth strategies.

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Research on Quantum Computing in Health Care Market 2021: By Growing Rate, Type, Applications, Geographical Regions, and Forecast to 2026 - Northwest...

Breakthroughs in quantum computing keep coming the latest quantum processor designed by Google has solved a complex mathematical calculation in less than four minutes; the most advanced conventional computers would require 10,000 years to get to an answer. Heres the problem though: even as scientists perfect the quantum computing hardware, there arent many people with the expertise to make use of it, particularly in real-life settings.

Joe Fitzsimons, the founder of Horizon Quantum Computing, believes he is well-placed to help here. Fitzsimons left academia in 2018 following years of research at Oxford University and the Quantum Information and Theory group in Singapore, spotting an opportunity. Were building the tools that will help people take advantage of these advances in the real world, he explains.

To understand Horizons unique selling point does not require a crash course in quantum computing. The key point is that while conventional computing uses binary processing technique a world reduced to 0 or 1 quantum computing operates using many combinations of these digits simultaneously; that means it can get results far more quickly.

The problem for anyone wanting to take advantage of this speed and power is that conventional computer programs wont run on quantum computing. And not only do you need a different language to tell your quantum computer what to do, the program also needs to be able to work out the best way for the machine to achieve a given outcome; not every possible route will secure an advantage.

A further difficulty is that quantum computer programmers are in short supply. And quantum computer programmers who also understand the intricacies of commercial problems that need solving in financial services, pharmaceuticals or energy, say are non-existent.

Horizon aims to fill this gap. Our role is to make quantum computing accessible by building the tools with which people can use it in the real world, he explains. If there is a problem that can be addressed by quantum computing, we need to make it more straightforward to do so.

Think of Horizon as offering a translation service. If you have written a programme to deliver a particular outcome on a conventional computer, Horizons translation tool will turn it into a programme that can deliver the same outcome from a quantum processor. Even better, the tool will work out the best possible way to make that translation so that it optimises the power of quantum computing to deliver your outcome more speedily.

Horizon's Joe Fitzsimons wants to drive access to quantum computing

In the absence of such tools, real-life applications for quantum computing have been developing slowly. One alternative is to use one of the libraries of programmes that already exist for quantum computing, assuming there is one for your particular use case. Another is to hire a team of experts or buy expertise in from a consultant to build your application for you, but this requires time and money, even if talent with the right skills for your outcome is actually out there.

Instead, we are trying to automate what someone with that expertise would do, adds Fitzsimons. If youre an expert in your particular field, we provide the quantum computing expertise so that you don't need it.

We are not quite at the stage of bringing quantum computing to the masses. For one thing, hardware developers are still trying to perfect the machines themselves. For another, we dont yet have a clear picture of where quantum computing will deliver the greatest benefits, though it is increasingly clear that the most promising commercial use cases lie in industries that generate huge amounts of data and require complex analytics to drive insight from that information.

Nevertheless, Fitzsimons believes widescale adoption of quantum computing is coming closer by the day. He points to the huge volumes of funding now going into the industry not least, private sector investment is doubling each year and the continuing technical breakthroughs.

From a commercial perspective, the forecasts are impressive. The consulting group BCG thinks the quantum computing sector could create $5bn-$10bn worth of value in the next three to five years and $450bn to $850bn in the next 15 to 30 years. And Horizon is convinced it can help bring those paydays forward.

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How Horizon Plans To Bring Quantum Computing Out Of The Shadows - Forbes