The Quantum Computing Technologies Market report provides an analysis of Quantum Computing Technologies Industry share, development policy, size, growth, trends, regional outlook and 2026 forecast analysis. It also highlights the drivers, restraints, and opportunities of the market during the said period. The study provides a complete perspective on the evolution of the global Quantum Computing Technologies market throughout the above mentioned forecast period in terms of revenue (US$ Bn)

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The Quantum Computing Technologies Market report comprises a detailed value chain analysis, which provides a comprehensive view of the global market. The Porters Five Forces model for the market has also been included to help understand the competitive landscape in the Quantum Computing Technologies market.

The report also highlights opportunities and future scope in the Quantum Computing Technologies market at the global and regional level. The study encompasses market attractiveness analysis, wherein the service is benchmarked based on market size, growth rate, and general Quantum Computing Technologies industry share.

The key players covered in this study

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The study includes profiles of major companies operating in the global Quantum Computing Technologies market. Market players have been profiled in terms of attributes such as company overview, financial overview, business strategies, and recent developments.

Regional analysis is another highly comprehensive part of the research and analysis study of the global Quantum Computing Technologies market presented in the report. This section sheds light on the sales growth of different regional and country-level Quantum Computing Technologies markets.

The key regions and countries covered in this report are:

Market segment by Type, the product can be split intoSoftwareHardware

Market segment by Application, split intoGovernmentBusinessHigh-TechBanking & SecuritiesManufacturing & LogisticsInsuranceOther

In order to compile the Quantum Computing Technologies market research report, we conducted in-depth interviews and discussions with a number of key industry participants and opinion leaders.

We reviewed key players product literature, annual reports, press releases, and relevant documents for competitive analysis and Quantum Computing Technologies market understanding. Secondary research also includes a search of recent trade, technical writing, internet sources, statistics data from government websites, trade associations, and agencies.

This has proven to be the most reliable, effective, and successful approach for obtaining precise market data, capturing industry participants insights, and recognizing business opportunities.

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Quantum Computing Technologies Market Key Stakeholders:

Key Points from Table of Content:

1 Quantum Computing Technologies Market Overview

2 Global Quantum Computing Technologies Market Competition by Manufacturers

3 Global Quantum Computing Technologies Capacity, Production, Revenue (Value) by Region (2015-2020)

4 Global Quantum Computing Technologies Supply (Production), Consumption, Export, Import by Region (2015-2020)

5 Global Quantum Computing Technologies Production, Revenue (Value), Price Trend by Type

6 Global Quantum Computing Technologies Market Analysis by Application

7 Global Quantum Computing Technologies Manufacturers Profiles/Analysis

8 Quantum Computing Technologies Manufacturing Cost Analysis

9 Quantum Computing Technologies Industrial Chain, Sourcing Strategy and Downstream Buyers

10 Quantum Computing Technologies Marketing Strategy Analysis, Distributors/Traders

11 Quantum Computing Technologies Market Effect Factors Analysis

12 Global Quantum Computing Technologies Market Forecast (2020-2026)

13 Quantum Computing Technologies Market Research Findings and Conclusion

14 Appendix

If you need anything more than these then let us know and we will prepare the report according to your requirement.

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Quantum Computing Technologies Market: Industry Players Analysis, New Innovation, Growth Prospects, Size, Growth, Revenue, Development Policy,...

Google reported a remarkable breakthrough towards the end of 2019. The company claimed to have achieved something called quantum supremacy, using a new type of quantum computer to perform a benchmark test in 200 seconds. This was in stark contrast to the 10,000 years that would supposedly have been needed by a state-of-the-art conventional supercomputer to complete the same test.

Despite IBMs claim that its supercomputer, with a little optimisation, could solve the task in a matter of days, Googles announcement made it clear that we are entering a new era of incredible computational power.

Yet with much less fanfare, there has also been rapid progress in the development of quantum communication networks, and a master network to unite them all called the quantum internet. Just as the internet as we know it followed the development of computers, we can expect the quantum computer to be accompanied by the safer, better synchronised quantum internet.

Like quantum computing, quantum communication records information in what are known as qubits, similar to the way digital systems use bits and bytes. Whereas a bit can only take the value of zero or one, a qubit can also use the principles of quantum physics to take the value of zero and one at the same time. This is what allows quantum computers to perform certain computations very quickly. Instead of solving several variants of a problem one by one, the quantum computer can handle them all at the same time.

These qubits are central to the quantum internet because of a property called entanglement. If two entangled qubits are geographically separated (for instance, one qubit in Dublin and the other in New York), measurements of both would yield the same result. This would enable the ultimate in secret communications, a shared knowledge between two parties that cannot be discovered by a third. The resulting ability to code and decode messages would be one of the most powerful features of the quantum internet.

Commercial applications

There will be no shortage of commercial applications for these advanced cryptographic mechanisms. The world of finance, in particular, looks set to benefit as the quantum internet will lead to enhanced privacy for online transactions and stronger proof of the funds used in the transaction.

Recently, at the CONNECT Centre in Trinity College Dublin, we successfully implemented an algorithm that could achieve this level of security. That this took place during a hackathon a sort of competition for computer programmers shows that even enthusiasts without detailed knowledge of quantum physics can create some of the building blocks that will be needed for the quantum internet. This technology wont be confined to specialist university departments, just as the original internet soon outgrew its origins as a way to connect academics around the world.

But how could this quantum internet be built anytime soon when we currently can only build very limited quantum computers? Well, the devices in the quantum internet dont have to be completely quantum in nature, and the network wont require massive quantum machines to handle the communication protocols.

One qubit here and there is all a quantum communication network needs to function. Instead of replacing the current infrastructure of optical fibres, data centres and base stations, the quantum internet will build on top of and make maximum use of the existing, classical internet.

With such rapid progress being made, quantum internet technology is set to shape the business plans of telecom companies in the near future. Financial institutions are already using quantum communication networks to make inter-bank transactions safer. And quantum communication satellites are up and running as the first step to extending these networks to a global scale.

The pipes of the quantum internet are effectively being laid as you read this. When a big quantum computer is finally built, it can be plugged into this network and accessed on the cloud, with all the privacy guarantees of quantum cryptography.

What will the ordinary user notice when the enhanced cryptography of the quantum internet becomes available? Very little, in all likelihood. Cryptography is like waste management: if everything works well, the customer doesnt even notice.

In the constant race of the codemakers and codebreakers, the quantum internet wont just prevent the codebreakers taking the lead. It will move the race track into another world altogether, with a significant head start for the codemakers. With data becoming the currency of our times, the quantum internet will provide stronger security for a new valuable commodity.

Harun iljak, Postdoctoral Research Fellow in Complex Systems Science for Telecommunications, Trinity College Dublin

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Image: Reuters

See the article here:
Quantum Internet: The Technology That Could Change Everything? - The National Interest Online

It is not easy to find investors for a deeptech startup. Science-based companies can take much longer than the typical 7-8 year VC investment cycle to produce a return, and not every investor has the background or experience to evaluate these businesses correctly.

But there are a growing number of European investors who do know to do this and there has been a recent influx of new ones on the scene. Corporate venture arms can also often provide patient capital, and a handful have established a track record of success.

This is our list of the 29 investors that deeptech companies should look at when they start seeking money. This is a peer-nominated list, put together by asking people working in this sector who they come across most frequently and who they value. As always, this is an evolving list, so if there is a great company we have missed, please let us know.

There are many flavours to deeptech investing, so weve categorised the funds to help you find a perfect fit whether it is an established name with a string of exits under their belt, or a fresh new arrival with an interesting thesis, a fund that specialises in university spin-outs or one that is good at plugging B2B startups into corporate networks. Click the names to read the full description of how they operate.

Long-established: Accel Partners, AlbionVC, Amadeus Capital Partners, Earlybird Venture Capital, Elaia, Emerald Technology Ventures, IQ Capita, Supernova Invest

New arrivals: Ahren Innovation Capital, AV8, Crane Venture Partners, Future Positive Capital, Maki.VC

Corporate-backed: ABB Technology Ventures, AV8, Emerald Technology Ventures, Robert Bosch Ventures, Schneider Electric Ventures , Siemens Next47

University-affiliated: AlbionVC, Cambridge Innovation Capital, Elaia, Parkwalk

If you want to take your business to the US: Accel Partners, Atlantic Bridge, Frontline Capital

If you want a lot of money: Atomico, Siemens Next47

Very specialist, lots of handholding: Freigeist, Walerud

Focus on central and eastern Europe: Credo Ventures, Earlybird Venture Capital, Launchub Ventures

Founded: 2009

People: Investment Directors: Kurt Kaltenegger Head of Ventures, Thomas Vogel North America investments, Arvind Vasu Asia investments, Malin Carlstrm Europe investments

Size of fund: Since 2010, ATV has invested more than $200m into technology startups. The fund has an evergreen structure with investment coming from the corporate balance sheet. Looks for startups working on the future of cities, buildings, and homes; future of transportation; future of industry.

What stage do they invest in? From seed to series C with a preference of series A and B

USP: The venture capital arm of ABB has invested in startups spanning a range of sectors including robotics, drones, industrial IoT, AI/machine learning, cybersecurity, smart buildings, electric mobility and distributed energy. The advantage of working with ABB is that startups get access to ABBs deep R&D bench, domain expertise, global customer base and channel partners. An evergreen fund structure means there is less pressure to exit quickly.

Notable investments: 26 companies, including CMR Surgical, Vicarious, GreenVolts, Kespry Validus

Notable exits: DC Systems, Industrial Defender, Persimmon, Bonsai, and Trilliant

Best way to get in touch: https://new.abb.com/about/technology/ventures

Founded: 1983, London office established in 2000

Location: London, Bangalore and Palo Alto

People: In London: Harry Nelis, Sonali De Rycker, Philippe Botteri, Luciana Lixandru, Seth Pierrepont, Andrei Brasoveanu, Luca Bocchio

Size of fund: Accel has raised 6 funds for Europe and has $3bn under management in Europe.

What stage do they invest in? Early-stage, typically series A

USP: Seeks to identify and partner with ambitious founders who have identified an untapped sector and have uncapped ambition. They are industry agnostic, backing originals from the earliest days through all phases of growth. They look for significant technical expertise in the founding team and IP in the product. Their investment philosophy is based on thinking 35 years ahead, and they have a deep CIO and technical expert network that helps Accel understand the underlying technology at companies. As they have teams in London, Bangalore and Palo Alto they can offer startups the chance to be connected globally.

Notable investments: Celonis, DashDash, Rasa, Humio, Deliveroo, Monzo Snyk, UiPath

Notable exits: Atlassian, Kayak, QlikTech, Spotify, Supercell

Best way to get in touch: Founders can reach out to partners directly via social media or through introductions.

Founded: 2018

Location: Cambridge, UK

People: 9 founding partners: Alice Newcombe-Ellis (Founding & Managing Partner), Sir Shankar Balasubramanian, Professor John Daugman OBE, Professor Zoubin Ghahramani, Professor Steve Jackson, Professor Andy Parker, Sir Venki Ramakrishnan, Lord Martin Rees, Sir Gregory Winter

Fund size: First fund of $250m raised in June 2019

What stage will they invest in? Seed to late stage. Typically invest up to $10m in an initial investment. Likely to invest in follow-on rounds, with a maximum investment of up to 15% of the fund.

USP: Has a philosophy of patient active capital, so it will allow longer investment cycles up to 15 years but also help companies find markets for their tech. The company has 8 founding science partners with a long track record in both academia and industry. They have created technologies worth $100bn+ between them, and the idea is that they can help young companies do the same. Ahren also has a unique base of LPs, including unicorn founders and corporations such as Aviva that have the potential to run pilots or provide access to key customers.

Notable investments: 7 investments so far including: Graphcore, Mogrify (transforms cells from one type to another) Nu Quantum (building quantum hardware) Cambridge Epigenetics

Notable exits: None yet

Best way to get in touch: [emailprotected] and @AhrenLP

Founded: Albion Capital was founded in 1995 (the tech investment team was named AlbionVC in 2018 to reflect the increasing importance of the tech portfolio and the changed investment focus)

People: Patrick Reeve (chairman), Will Fraser-Allen (managing partner), Andrew Elder (deputy managing partner)

Size of fund: 540m in 7 funds (6 evergreen venture capital trusts and the UCL Technology fund)

What stage do they invest in? Late seed, series A and series B

USP: Invests in UK startups focused on B2B software and marketplaces. The team has 25 years of experience and takes the approach of building good chemistry with founders. The evergreen venture capital trust structure means that they can take a long term view on investments, holding them for more than 10 years. For example, they held PSE for 12 years before exiting in 2019. 52 in the portfolio.

Notable investments:Avora (business intelligence AI), Elliptic (fighting financial crime in crypto), Hazy (synthetic data), Imandra (automated reasoning explainable AI), Phasecraft (quantum computing), Speechmatics (speechtech) and Quantexa (data analytics AI).

Notable exits: Bloomsbury AI (Facebook, 2018, undisclosed return), Grapeshot (Oracle, 2018, 10x cost), PSE (Siemens, 2019, 10x cost) and IPOs of Orchard Therapeutics (NASDAQ MV:$1.2BN) and Meira GTX (NASDAQ MV: $0.7BN).

Best way to get in touch: Will look at emails and social media approaches but prefers warm introductions.

Founded: 1997

Location: Cambridge, UK

People: Anne Glover (Chief Executive & Co-founder); Hermann Hauser (Co-founder & Venture Partner); Alex van Someren (Managing Partner Early Stage Funds); Andrea Traversone (Managing Partner Digital Prosperity Funds); Pat Burtis (Partner); Nick Kingsbury (Partner); Volker Hirsch (Venture Partner).

Size of fund: Has raised 18 funds so far, and has $1bn+ in commitments

What stage does it invest in? Seed and series A investments (with follow-ons) mainly in UK technology companies. In Europe and Latin America it tends to invest in series B.

USP: Known for taking early and astute bets on deeptech startups, the portfolio speaks for itself.

The firm has three investment strands, For early-stage UK investments it focuses on AI; machine learning; autonomous systems; human/computer interfaces; enterprise SaaS; cyber security; digital health; medical technology, and novel materials; quantum technologies.

Amadeus also makes opportunistic investments in European companies with proven technology, helping them commercialise, and has a third thesis around digital prosperity in emerging market, investing growth capital in fintech and digital services companies in Latin America and Asia.

Notable investments: 150 companies in the portfolio in total, including Graphcore, Prolwer.io, PolyAI, Improbable, Immense, FiveAI, Ravelin, ContactEngine, DirectID, Blockclaim, Congenica, Inotech, Healx, Ori Biotech, Paragraf, Riverlane, Nu Quantum; Creditas, Kreditech, Zilingo, Travelstart, Descomplica.

Notable exits: ForeScout (partial exit, NASDAQ listing), Igenomix (full exit, acquired), Improbable.io (partial exit to Chinese strategic investor), IndiaMART (partial exit, IPO), Iyzico (full exit, acquired by PayU/Naspers), Octo Telematics (full exit, acquired), OneDrum/Yammer (full exit, acquired by Microsoft), Tobii (partial exit, listed on NASDAQ QMX),VocalIQ (full exit, acquired by Apple):

Past exits include Cambridge Silicon Radio (CSR), Element 14, Entropic, Lastminute.com .

Best way to get in touch: Meet the Amadeus team at an event or conference, or get a referral from someone. You can also submit a proposal through the website.

Founded: 2004

Location: Dublin, Ireland

People:Managing partners: Brian Long, Elaine Coughlan, Kevin Dillon

Size of fund: 950 million of assets under management across seven funds

USP: Invests in AI, robotics, autonomous vehicles, IoT, cyber security, Industry 4.0, smart edge devices Partners Brian Long and Elaine Couglan have a very long track record in the industry, going back 30 years. They are a steady pair of hands with a history of successful sales.

Notable investments: SambaNova Systems, Quixey, Vectra Networks, 3D Robotics

Notable exits: Recently sold Irish chipmaker Decawave to Apple supplier Qorvo for $400m.

Best way to get in touch: Apply through the website for a 20-minute call for a member of the team.

Founded: 2006

Location: London, UK

People: The deeptech partners to talk to are Irina Haivas, Siraj Khaliq (who backed Graphcore) and principal Ben Blume. (In-depth interviews with them here).

Size of fund: Just raised an $820m fund (more details here), bringing total assets under management to $2.7m. Raised $765m in 2017.

What stage does it invest in? Series A onwards

USP: Looks for founders that can scale up fast and disrupt industries. Probably not worth calling them about a small B2B startup you intend to sell for a modest sum. Everyone knows Atomico and its famous founding partner, Niklas Zennstrom, the founder of Skype but there are a lot of sector specialists. Invests in a lot of consumer tech like scooters and fintech providers, but isnt afraid of taking occasional big bets on unproven tech, having been a relatively early supporter of Lilium Jet and Graphcore.

Notable investments: Wolt, Graphcore, Lilium Jet, Healx.

Notable exits: Spacemaker AI, Varjo, Spacemaker, Bitmovin Quid, Rovio, Supercell, Hailo.

Best way to get in touch: Will read all emails but a warm introduction would be better.

Founded: 2018

Location: London, UK and Palo Alto, US

People: Miles Kirby (Managing Partner), George Ugras (Managing Partner), Baris Aksoy (General Partner), Serpil Kuyucak-Schiebel (Operating Partner), Min Hu (Investing Partner), Victor Christou (Venture Partner), Brett Battles (Venture Partner), Ruchita Sinha (Venture Partner), Shaun Kung (Venture Partner), Dr Gloria Lau (Venture Partner), Dr Marco Pavone (Venture Partner)

Size of fund: 150m

What stage does it invest in? Seed and series A

USP: Backed by Allianz but invests more as an independent venture fund. The team has a lot of experience working in big tech, including Intel, Google, Qualcomm, IBM and LinkedIn. Invests in startups across sectors that are booming as a result of advances in the power of computer processing, machine learning, and new data sources. Specific focus areas are next-generation mobility (including electrification and automation, new ownership models, and deeptech solutions), digital healthcare, machine learning and big data, and enterprise SaaS.

Notable investments: Alpha Medical, Contract Wrangler, Hometree, Locomotion, M:QUBE, PlanetIQ, Swift Shift, Uizard, Rephrase AI, Embrace+ 3 more in stealth mode

Notable exits: None yet

Best way to get in touch: Email [emailprotected]

Founded: 2013

Location: Cambridge, UK

People: Andrew Williamson (managing partner), Michael Anstey, Vin Lingathoti, Rob Sprawson, Robert Tansley

Size of fund: 275m

USP: Focuses on companies in the Cambridge ecosystem, with a deep affiliation with Cambridge University. Interested in earlt stage companies in AI, internet of things, quantum technologies, autonomous systems, therapeutics, medtech/diagnostics, digital health and genomics/proteomics.

Notable investments: CMR Surgical, Riverlane, Carrick Therapeutics, Fluid Analytics, Prowler.io

Notable exits: Bicycle Therapeutics (IPO May 2019)

Best way to get in touch: Website http://www.cic.vc or Twitter at @CIC_vc

Founded: 2019

Location: London, UK

People: Krishna Visvanathan (cofounder), Scott Sage (cofounder), Bonnie Kraus, Rav Dhaliwal, Leo Spiegel, Marta Bulaich,

Read more from the original source:
29 deeptech VCs in Europe you need to know - Sifted

From Texas Standard:

The Trump administration's fiscal year 2021 budget proposal includes significant increases in funding for artificial intelligence and quantum computing, while cutting overall research and development spending.

If Congress agrees to it, funding for artificial intelligence, or AI, would nearly double, and quantum computing would receive a 50% boost over last year's budget, doubling in 2022 to $860 million. The administration says these two fields of research are important to U.S. national security, in part, because China also invests heavily in these fields.

Quantum computing uses quantum mechanics to solve highly complex problems more quickly than they can be solved by standard or classical computers. Though fully functional quantum computers don't yet exist, scientists at academic institutions, as well as at IBM, Google and other companies, are working to build such systems.

Scott Aaronson is a professor of computer science and the founding director of the Quantum Information Center at the University of Texas at Austin. He says applications for quantum computing include simulation of chemistry and physics problems. These simulations enable scientists to design new materials, drugs, superconductors and solar cells, among other things.

Aaronson says the government's role is to support basic scientific research the kind needed to build and perfect quantum computers.

"We do not yet know how to build a fully scalable quantum computer. The quantum version of the transistor, if you like, has not been invented yet," Aaronson says.

On the software front, researchers have not yet developed applications that take full advantage of quantum computing's capabilities.

"That's often misrepresented in the popular press, where it's claimed that a quantum computer is just a black box that does everything," Aaronson says.

Competition between the U.S. and China in quantum computing revolves, in part, around the role such a system could play in breaking the encryption that makes things secure on the internet.

Truly useful quantum computing applications could be as much as a decade away, Aaronson says. Initially, these tools would be highly specialized.

"The way I put it is that we're now entering the very, very early, vacuum-tube era of quantum computers," he says.

Written by Shelly Brisbin.

Continued here:
Why Quantum Computing Gets Special Attention In The Trump Administration's Budget Proposal - KUT

Labs around the world are racing to develop new computing and sensing devices that operate on the principles of quantum mechanics and could offer dramatic advantages over their classical counterparts. But these technologies still face several challenges, and one of the most significant is how to deal with noise random fluctuations that can eradicate the data stored in such devices.

A new approach developed by researchers at MIT could provide a significant step forward in quantum error correction. The method involves fine-tuning the system to address the kinds of noise that are the most likely, rather than casting a broad net to try to catch all possible sources of disturbance.

The analysis is described in the journal Physical Review Letters, in a paper by MIT graduate student David Layden, postdoc Mo Chen, and professor of nuclear science and engineering Paola Cappellaro.

The main issues we now face in developing quantum technologies are that current systems are small and noisy, says Layden. Noise, meaning unwanted disturbance of any kind, is especially vexing because many quantum systems are inherently highly sensitive, a feature underlying some of their potential applications.

And theres another issue, Layden says, which is that quantum systems are affected by any observation. So, while one can detect that a classical system is drifting and apply a correction to nudge it back, things are more complicated in the quantum world. What's really tricky about quantum systems is that when you look at them, you tend to collapse them, he says.

Classical error correction schemes are based on redundancy. For example, in a communication system subject to noise, instead of sending a single bit (1 or 0), one might send three copies of each (111 or 000). Then, if the three bits dont match, that shows there was an error. The more copies of each bit get sent, the more effective the error correction can be.

The same essential principle could be applied to adding redundancy in quantum bits, or qubits. But, Layden says, If I want to have a high degree of protection, I need to devote a large part of my system to doing these sorts of checks. And this is a nonstarter right now because we have fairly small systems; we just dont have the resources to do particularly useful quantum error correction in the usual way. So instead, the researchers found a way to target the error correction very narrowly at the specific kinds of noise that were most prevalent.

The quantum system theyre working with consists of carbon nuclei near a particular kind of defect in a diamond crystal called a nitrogen vacancy center. These defects behave like single, isolated electrons, and their presence enables the control of the nearby carbon nuclei.

But the team found that the overwhelming majority of the noise affecting these nuclei came from one single source: random fluctuations in the nearby defects themselves. This noise source can be accurately modeled, and suppressing its effects could have a major impact, as other sources of noise are relatively insignificant.

We actually understand quite well the main source of noise in these systems, Layden says. So we don't have to cast a wide net to catch every hypothetical type of noise.

The team came up with a different error correction strategy, tailored to counter this particular, dominant source of noise. As Layden describes it, the noise comes from this one central defect, or this one central electron, which has a tendency to hop around at random. It jitters.

That jitter, in turn, is felt by all those nearby nuclei, in a predictable way that can be corrected.

The upshot of our approach is that were able to get a fixed level of protection using far fewer resources than would otherwise be needed, he says. We can use a much smaller system with this targeted approach.

The work so far is theoretical, and the team is actively working on a lab demonstration of this principle in action. If it works as expected, this could make up an important component of future quantum-based technologies of various kinds, the researchers say, including quantum computers that could potentially solve previously unsolvable problems, or quantum communications systems that could be immune to snooping, or highly sensitive sensor systems.

This is a component that could be used in a number of ways, Layden says. Its as though were developing a key part of an engine. Were still a ways from building a full car, but weve made progress on a critical part.

"Quantum error correction is the next challenge for the field," says Alexandre Blais, a professor of physics at the University of Sherbrooke, in Canada, who was not associated with this work. "The complexity of current quantum error correcting codes is, however, daunting as they require a very large number of qubits to robustly encode quantum information."

Blais adds, "We have now come to realize that exploiting our understanding of the devices in which quantum error correction is to be implemented can be very advantageous.This work makes an important contribution in this direction by showing that a common type of error can be corrected for in a much more efficient manner than expected. For quantum computers to become practical we need more ideas like this."

The research was supported by the U.S. Army Research Office and the National Science Foundation.

Read more:
Correcting the jitters in quantum devices - MIT News