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Quantum computing make use of significant subatomic particle capability to be present in more than one state at any given point of time. Due to the peculiar behavior of these particles, processing can be done in a faster manner and with minimal power requirement than traditional computers. Traditional computers encode information in bits with the values 1 or 0. These values act as on/off switches that eventually drive computer functions. On the other hand, quantum computing uses quantum bits i.e. qubit. However, they can store more information than 1s or 0s. It works on the two very important principles of quantum physics i.e. entanglement and superposition.

The global Quantum Computing Market size is expected to Expand at Significant CAGR of +24% during forecast period (2021-2027).

The report, titled Global Quantum Computing Market defines and briefs readers about its products, applications, and specifications. The research lists key companies operating in the global market and also highlights the key changing trends adopted by the companies to maintain their dominance. By using SWOT analysis and Porters five force analysis tools, the strengths, weaknesses, opportunities, and threats of key companies are all mentioned in the report. All leading players in this global market are profiled with details such as product types, business overview, sales, manufacturing base, competitors, applications, and specifications.

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Note In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

Top Key Vendors of this Market are:

D-Wave Systems, Google, IBM, Intel, Microsoft, 1QB Information Technologies, Anyon Systems, Cambridge Quantum Computing, ID Quantique, IonQ, QbitLogic, QC Ware, Quantum Circuits, Qubitekk, QxBranch, Rigetti Computing.

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Quantum Computing market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Quantum Computing markets trajectory between forecast periods.

The report provides insights on the following pointers:

Market Penetration:Comprehensive information on the product portfolios of the top players in the Quantum Computing market.

Product Development/Innovation:Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.

Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.

Market Development:Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.

Market Diversification:Exhaustive information about new products, untapped geographies, recent developments, and investments in the Quantum Computing market.

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Regions Covered in the Global Quantum Computing Market Report 2021:The Middle East and Africa(GCC Countries and Egypt)North America(the United States, Mexico, and Canada)South America(Brazil etc.)Europe(Turkey, Germany, Russia UK, Italy, France, etc.)Asia-Pacific(Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The cost analysis of the Global Quantum Computing Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Reasons for buying this report:

Table of Contents

Global Quantum Computing Market Research Report 2021 2027

Chapter 1 Quantum Computing Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Quantum Computing Market Forecast

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Originally posted here:
Quantum Computing Market Breaking New Grounds and Touch New Level in upcoming year by D-Wave Systems, Google, IBM, Intel, Microsoft KSU | The...

Experts at the CES 2021 conference stress importance of security education

The second age of quantum computing is poised to bring a wealth of new opportunities to the cybersecurity industry but in order to take full advantage of these benefits, the skills gap must be closed.

This was the takeaway of a discussion between two cybersecurity experts at the CES 2021 virtual conference last week.

Pete Totrorici, director of Joint Information Warfare at the Department of Defense (DoD) Joint Artificial Intelligence (AI) Center, joined Vikram Sharma, CEO of QuintessenceLabs, during a talk titled AI and quantum cyber disruption.

Quantum computing is in its second age, according to Sharma, meaning that the cybersecurity industry will soon start to witness the improvements in encryption, AI, and other areas that have long been promised by the technology.

BACKGROUND Quantum leap forward in cryptography could make niche technology mainstream

Quantum-era cybersecurity will wield the power to detect and deflect quantum-era cyber-attacks before they cause harm, a report from IBM reads.

It is the technology of our time, indeed, commented Sharma, who is based in Canberra, Australia.

QuintessenceLabs is looking at the application of advanced quantum technologies within the cybersecurity sphere, says Sharma, in particular the realm of data protection.

Governments and large organizations have also invested in the quantum space in recent years, with the US, UK, and India all providing funding for research.

The Joint AI Center was founded in 2018 and was launched to transform the Department of Defense to the adoption of artificial intelligence, said Totrorici.

A subdivision of the US Armed Forces, the center is responsible for exploring the use of AI and AI-enhanced communication for use in real-world combat situations.

Specifically, were trying to identify how we employ AI solutions that will have a mission impact, he said.

Across the department our day-to-day composes everything from development strategy, policy, product development, industry engagement, and other outreach activities, but if I need to identify something that I think is my most significant challenge today, its understanding the departments varied needs.

As with last year, CES took place virtually in 2021 due to the coronavirus pandemic

In order to reach these needs, Totrorici said that relationships between the center, academia, industry, and government need to be established.

There was a time when the DoD go it alone, [however] those days are long gone.

If were going to solve problems like AI employment or quantum development, [it] is going to require partnerships, he said.

Totrorici and Sharma both agreed that while the future is certainly in quantum computing, the ever-widening cyber skills gap needs to be addressed to take advantage of its potential.

Indeed, these partnerships cannot be formed if there arent enough experts in the field.

Totrorici said: Forefront in the mind of the DoD nowadays is, How do we how do we cultivate and retain talent?

I still think the United States does a great job of growing and building talent. Now the question becomes, Will we retain that talent, how do we leverage that time going forward, and where are we building it?

YOU MAY ALSO LIKE Quantum encryption the devil is in the implementation

The (ISC)2 2020 Workforce Study (PDF) found that the current cybersecurity industry needs to grow by 89% in order to effectively protect against cyber threats.

Of the companies surveyed, the study also revealed that 64% current have some shortage of dedicated cybersecurity staff.

Here in Australia weve recently established whats called the Sydney Quantum Academy, and that is an overarching group that sits across four leadings institutions that are doing some cutting-edge work in quantum in the country, said Sharma.

One of the aims of that academy is to produce quantum skilled folks broadly, but also looking specifically in the quantum cybersecurity area.

So certainly, some small initiatives that [have] kicked off, but I think theres a big gap there that that will need to be filled as we move forward.

READ MORE Infosec pro Vandana Verma on improving diversity and helping to grow the Indian security community

Visit link:
Mind the (skills) gap: Cybersecurity talent pool must expand to take advantage of quantum computing opportunities - The Daily Swig

COLLEGE PARK, Md., Jan. 19, 2021 /PRNewswire/ --IonQ, the leader in quantum computing, today announced a three-year alliance with South Korea's Quantum Information Research Support Center, or Q Center. The Q Center is an independent organization at Sungkyunkwan University (SKKU) focused on the creation of a rich research ecosystem in the field of quantum information science. The partnership will make IonQ's trapped-ion quantum computers available for research and teaching across South Korea.

IonQ's systems have the potential to solve the world's most complex problems with the greatest accuracy. To date, the company's quantum computers have a proven track record of outperforming all other available quantum hardware.

Researchers and students across South Korea will be able to immediately start running jobs on IonQ's quantum computers. This partnership will enable researchers, scientists, and students to learn, develop, and deploy quantum applications on one of the world's leading quantum systems.

"I am proud to see IonQ enter this alliance with Q Center," said Peter Chapman, CEO & President of IonQ. "IonQ's hardware will serve as the backbone for quantum research. Our technology will play a critical role not only in the advancement of quantum, but also in fostering the next generation of quantum researchers and developers in South Korea."

"Our mission is to cultivate and promote the advancement of quantum information research in South Korea," said SKKU Professor of SAINT (SKKU Advanced Institute of NanoTechnology), Yonuk Chong. "We believe IonQ has the most advanced quantum technology available, and through our partnership, we will be able to make tremendous strides in the advancement of the industry."

This alliance builds on IonQ's continued success. IonQ recently released a product roadmap to deploy rack mounted quantum computers by 2023, and achieve broad quantum advantage by 2025. IonQ also recently unveiled a new $5.5 million, 23,000 square foot Quantum Data Center in Maryland's Discovery District. IonQ has raised $84 million in funding to date, announcing new investment from Lockheed Martin, Robert Bosch Venture Capital GmbH (RBVC) and Cambium earlier this year. Previous investors include Samsung Electronics, Mubadala Capital, GV, Amazon, and NEA. The company's two co-founders were also recently named to the National Quantum Initiative Advisory Committee (NQIAC).

About IonQIonQ is the leader in quantum computing. By making our quantum hardware accessible through the cloud, we're empowering millions of organizations and developers to build new applications to solve the world's most complex problems in business, and across society. IonQ's unique approach to quantum computing is to start with nature: using individual atoms as the heart of our quantum processing units. We levitate them in space with electric potentials applied to semiconductor-defined electrodes on a chip, and then use lasers to do everything from initial preparation to final readout and the quantum gate operations in between. The unique IonQ architecture of random-access processing of qubits in a fully connected and modular architecture will allow unlimited scaling. The IonQ approach requires atomic physics, precision optical and mechanical engineering, and fine-grained firmware control over a variety of components. Leveraging this approach, IonQ provides both a viable technological roadmap to scale and the flexibility necessary to explore a wide range of application spaces in the near term. IonQ was founded in 2015 by Jungsang Kim and Christopher Monroe and their systems are based on foundational research at The University of Maryland and Duke University.

About SKKUSungkyunkwan University (SKKU) is a leading research university located in Seoul, South Korea. SKKU is known around the world for the quality of its research and invests heavily in research and development. SKKU has more than 600 years of history as a leading educational institution, and is guided by the founding principles of benevolence, righteousness, propriety, wisdom, and self-cultivation.

SOURCE IonQ

https://ionq.com

Continue reading here:
IonQ and South Korea's Q Center Announce Three-Year Quantum Alliance - PRNewswire

This is the fourth in a multi-part series on cryptography and the Domain Name System (DNS).

One of the "key" questions cryptographers have been asking for the past decade or more is what to do about the potential future development of a large-scale quantum computer.

If theory holds, a quantum computer could break established public-key algorithms including RSA and elliptic curve cryptography (ECC), building on Peter Shor's groundbreaking result from 1994.

This prospect has motivated research into new so-called "post-quantum" algorithms that are less vulnerable to quantum computing advances. These algorithms, once standardized, may well be added into the Domain Name System Security Extensions (DNSSEC) thus also adding another dimension to a cryptographer's perspective on the DNS.

(Caveat: Once again, the concepts I'm discussing in this post are topics we're studying in our long-term research program as we evaluate potential future applications of technology. They do not necessarily represent Verisign's plans or position on possible new products or services.)

The National Institute of Standards and Technology (NIST) started a Post-Quantum Cryptography project in 2016 to "specify one or more additional unclassified, publicly disclosed digital signature, public-key encryption, and key-establishment algorithms that are capable of protecting sensitive government information well into the foreseeable future, including after the advent of quantum computers."

Security protocols that NIST is targeting for these algorithms, according to its 2019 status report (Section 2.2.1), include: "Transport Layer Security (TLS), Secure Shell (SSH), Internet Key Exchange (IKE), Internet Protocol Security (IPsec), and Domain Name System Security Extensions (DNSSEC)."

The project is now in its third round, with seven finalists, including three digital signature algorithms, and eight alternates.

NIST's project timeline anticipates that the draft standards for the new post-quantum algorithms will be available between 2022 and 2024.

It will likely take several additional years for standards bodies such as the Internet Engineering Task (IETF) to incorporate the new algorithms into security protocols. Broad deployments of the upgraded protocols will likely take several years more.

Post-quantum algorithms can therefore be considered a long-term issue, not a near-term one. However, as with other long-term research, it's appropriate to draw attention to factors that need to be taken into account well ahead of time.

The three candidate digital signature algorithms in NIST's third round have one common characteristic: all of them have a key size or signature size (or both) that is much larger than for current algorithms.

Key and signature sizes are important operational considerations for DNSSEC because most of the DNS traffic exchanged with authoritative data servers is sent and received via the User Datagram Protocol (UDP), which has a limited response size.

Response size concerns were evident during the expansion of the root zone signing key (ZSK) from 1024-bit to 2048-bit RSA in 2016, and in the rollover of the root key signing key (KSK) in 2018. In the latter case, although the signature and key sizes didn't change, total response size was still an issue because responses during the rollover sometimes carried as many as four keys rather than the usual two.

Thanks to careful design and implementation, response sizes during these transitions generally stayed within typical UDP limits. Equally important, response sizes also appeared to have stayed within the Maximum Transmission Unit (MTU) of most networks involved, thereby also avoiding the risk of packet fragmentation. (You can check how well your network handles various DNSSEC response sizes with this tool developed by Verisign Labs.)

The larger sizes associated with certain post-quantum algorithms do not appear to be a significant issue either for TLS, according to one benchmarking study, or for public-key infrastructures, according to another report. However, a recently published study of post-quantum algorithms and DNSSEC observes that "DNSSEC is particularly challenging to transition" to the new algorithms.

Verisign Labs offers the following observations about DNSSEC-related queries that may help researchers to model DNSSEC impact:

A typical resolver that implements both DNSSEC validation and qname minimization will send a combination of queries to Verisign's root and top-level domain (TLD) servers.

Because the resolver is a validating resolver, these queries will all have the "DNSSEC OK" bit set, indicating that the resolver wants the DNSSEC signatures on the records.

The content of typical responses by Verisign's root and TLD servers to these queries are given in Table 1 below. (In the table, . are the final two labels of a domain name of interest, including the TLD and the second-level domain (SLD); record types involved include A, Name Server (NS), and DNSKEY.)

For an A or NS query, the typical response, when the domain of interest exists, includes a referral to another name server. If the domain supports DNSSEC, the response also includes a set of Delegation Signer (DS) records providing the hashes of each of the referred zone's KSKs the next link in the DNSSEC trust chain. When the domain of interest doesn't exist, the response includes one or more Next Secure (NSEC) or Next Secure 3 (NSEC3) records.

Researchers can estimate the effect of post-quantum algorithms on response size by replacing the sizes of the various RSA keys and signatures with those for their post-quantum counterparts. As discussed above, it is important to keep in mind that the number of keys returned may be larger during key rollovers.

Most of the queries from qname-minimizing, validating resolvers to the root and TLD name servers will be for A or NS records (the choice depends on the implementation of qname minimization, and has recently trended toward A). The signature size for a post-quantum algorithm, which affects all DNSSEC-related responses, will therefore generally have a much larger impact on average response size than will the key size, which affects only the DNSKEY responses.

Post-quantum algorithms are among the newest developments in cryptography. They add another dimension to a cryptographer's perspective on the DNS because of the possibility that these algorithms, or other variants, may be added to DNSSEC in the long term.

In my next post, I'll make the case for why the oldest post-quantum algorithm, hash-based signatures, could be a particularly good match for DNSSEC. I'll also share the results of some research at Verisign Labs into how the large signature sizes of hash-based signatures could potentially be overcome.

Read the previous posts in this six-part blog series:

The rest is here:
Securing the DNS in a Post-Quantum World: New DNSSEC Algorithms on the Horizon - CircleID

An IBM patent shows a hexagonal array of qubits in a quantum computer, arranged to minimize problems controlling the finicky data processing elements.

IBM secured 9,130 US patents in 2020, more than any other company as measured by an annual ranking, and this year quantum computing showed up as part of Big Blue's research effort. The company wouldn't disclose how many of the patents were related to quantum computing -- certainly fewer than the 2,300 it received for artificial intelligence work and 3,000 for cloud computing -- but it's clear the company sees them as key to the future of computing.

The IFI Claims patent monitoring service compiles the list annually, and IBM is a fixture at the top. The IBM Research division, with labs around the globe, has for decades invested in projects that are far away from commercialization. Even though the work doesn't always pay dividends, it's produced Nobel prizes and led to entire industries like hard drives, computer memory and database software.

Get the latest tech stories with CNET Daily News every weekday.

"A lot of the work we do in R&D really is not just about the number of patents, but a way of thinking," Jerry Chow, director of quantum hardware system development, said in an exclusive interview. "New ideas come out of it."

IFI's US patent list is dominated by computer technology companies. Second place went to Samsung with 6,415 patents, followed by Canon with 3,225, Microsoft with 2,905 and Intel with 2,867. Next on the list are Taiwan Semiconductor Manufacturing Corp., LG, Apple, Huawei and Qualcomm. The first non-computing company is Toyota, in 14th place.

Internationally, IBM ranked second to Samsung in patents for 2020, and industrial companies Bosch and General Electric cracked the top 10. Many patents are duplicative internationally since it's possible to file for a single patent in 153 countries.

Quantum computing holds the potential to tackle computing problems out of reach of conventional computers. During a time when it's getting harder to improve ordinary microprocessors, quantum computers could pioneer new high-tech materials for solar panels and batteries, improve chemical processes, speed up package delivery, make factories more efficient and lower financial risks for investors.

Industrywide, quantum computing is a top research priority, with dozens of companies investing millions of dollars even though most don't expect a payoff for years. The US government is bolstering that effort with a massive multilab research effort. It's even become a headline event at this year's CES, a conference that more typically focuses on new TVs, laptops and other consumer products.

"Tactical and strategic funding is critical" to quantum computing's success, said Hyperion Research analyst Bob Sorensen. That's because, unlike more mature technologies, there's not yet any virtuous cycle where profits from today's quantum computing products and services fund the development of tomorrow's more capable successors.

IBM has taken a strong early position in quantum computing, but it's too early to pick winners in the market, Sorensen added.

The long-term goal is what's called a fault tolerant quantum computer, one that uses error correction to keep calculations humming even when individual qubits, the data processing element at the heart of quantum computers, are perturbed. In the nearer term, some customers like financial services giant JPMorgan Chase, carmaker Daimler and aerospace company Airbus are investing in quantum computing work today with the hope that it'll pay off later.

Quantum computing is complicated to say the least, but a few patents illustrate what's going on in IBM's labs.

Patent No. 10,622,536 governs different lattices in which IBM lays out its qubits. Today's 27-qubit "Falcon" quantum computers use this approach, as do the newer 65-qubit "Hummingbird" machines and the much more powerful 1,121-qubit "Condor" systems due in 2023.

A close-up view of an IBM quantum computer. The processor is in the silver-colored cylinder.

IBM's lattices are designed to minimize "crosstalk," in which a control signal for one qubit ends up influencing others, too. That's key to IBM's ability to manufacture working quantum processors and will become more important as qubit counts increase, letting quantum computers tackle harder problems and incorporate error correction, Chow said.

Patent No. 10,810,665 governs a higher-level quantum computing application for assessing risk -- a key part of financial services companies figuring out how to invest money. The more complex the options being judged, the slower the computation, but the IBM approach still outpaces classical computers.

Patent No. 10,599,989 describes a way of speeding up some molecular simulations, a key potential promise of quantum computers, by finding symmetries in molecules that can reduce computational complexity.

Most customers will tap into the new technology throughquantum computing as a service. Because quantum computers typically must be supercooled to within a hair's breadth of absolute zero to avoid perturbing the qubits, and require spools of complicated wiring, most quantum computing customers are likely to tap into online services from companies like IBM, Google, Amazon and Microsoft that offer access to their own carefully managed machines.

See the original post:
Quantum computing research helps IBM win top spot in patent race - CNET