DUBLIN, Sept. 10, 2020 /PRNewswire/ -- The "Quantum Computing - A New Paradigm Nears the Horizon" report has been added to ResearchAndMarkets.com's offering.

This study looks into the present perspective of quantum computing and its present state of development, as well as its future outlook.

The study proposes an accessible description of the new computing paradigm brought by quantum technology and presents the potential applications and benefits that the new approach would bring. It also focuses on the potential consequences for cybersecurity and telecommunications.

Alongside the perspective it offers on the current quantum computing ecosystem, the study outlines a vision of the current state of development of the technology. This includes an analysis of the positioning of key players (IBM, Microsoft, D-Wave) and of the investment programmes of some 12 key nations including the USA, China, parts of the EU, Russia, Japan and South Korea.)

Finally, the study analyses the likely development of the technology and its foreseeable impacts.

Key Topics Covered:

1. Executive Summary

2. Quantum Technology Definitions2.1. Quantum computing glossary2.2. Quantum properties and principles for a quantum computer

3. Quantum Computing Technologies3.1. Scope of the study3.2. The two main approaches to quantum computing3.3. Analog-quantum computing (AQC)3.4. Gate-based quantum computing3.5. Qubit: state of the art

4. State of Play of Quantum Technology4.1. Quantum computing foreseen benefits4.2. Quantum foreseen limitations4.3. The quantum computing race4.4. How to compare performance in quantum computing?4.5. Milestones and limitations for quantum computing4.6. Quantum supremacy: another milestone reached in 2019?

5. Quantum Technology Applications5.1. Quantum computing potential applications5.2. Most important QC potential applications5.3. Quantum computing: potential applications5.4. Focus: Quantum computing impact on cryptography5.5. The solution to build a post-quantum secure system

6. Key Players and Initiatives6.1. Private Player Profiles

6.2. Public Initiatives

7. Analysis and Perspectives7.1. Technology Perspective: Common misconceptions on quantum computing7.2. Ecosystems analysis7.3. Cybersecurity perspective7.4. Perspectives of development7.5. The vision of future development

For more information about this report visit https://www.researchandmarkets.com/r/y1svm5

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Key Players and Initiatives in the Quantum Technology Market 2020 - PRNewswire

DUBLIN--(BUSINESS WIRE)--The "Innovations in Wearables, Light-field-based VR Glasses, Antenna, Quantum Computing, Micro-LED, and MPUs" report has been added to ResearchAndMarkets.com's offering.

Some of the innovations include virtual reality glasses, antenna with geostationary satellite architecture, wearables for Covid-19 detection, quantum computing, neural-network based chip, microLED for display, 5G modem, and advanced processors.

The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centred on electronics attributed by low power and cost, smaller size, better viewing, display and interface facilities, wireless connectivity, higher memory capacity, flexibility and wearables.

Research focus themes include small footprint lightweight devices (CNTs, graphene), smart monitoring and control (touch and haptics), energy efficiency (LEDs, OLEDs, power and thermal management, energy harvesting), and high speed and improved conductivity devices (SiC, GaN, GaAs).

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/qvwjnz

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2020 Research Report: Innovations in Wearables, Light-field-based VR Glasses, Antenna, Quantum Computing, Micro-LED, and MPUs - ResearchAndMarkets.com...

The US National Science Foundation (NSF), Department of Energy (DOE), and the White House, announced more than $1 billion in awards for the establishment of 12 new AI and QIS research and development (R&D) institutes nationwide.

Together, NSFs AI Research Institutes and DOEs QIS Research Centers will serve as national R&D hubs for these critical industries of the future, spurring innovation, supporting regional economic growth, and training the next generation workforce.

The NSF and additional Federal partners are awarding $140 million over five years to a total of seven NSF-led AI Research Institutes. These collaborative research and education institutes will focus on a range of AI R&D areas, such as machine-learning, synthetic manufacturing, precision agriculture, and forecasting prediction. Research will take place at universities around the country, including the University of Oklahoma at Norman, the University of Texas at Austin, the University of Colorado at Boulder, the University of Illinois at Urbana-Champaign, the University of California at Davis, and the Massachusetts Institute of Technology.

NSF anticipates making additional AI Research Institute awards in the coming years, with more than $300 million in total awards, including contributions from partner agencies, expected by next summer. Overall, NSF invests more than $500 million in artificial intelligence activities annually and is the largest Federal driver of nondefense AI R&D.

To establish the QIS Research Centers, DOE is announcing up to $625 million over five years to five centers that will be led by DOE National Laboratory teams at Argonne, Brookhaven, Fermi, Oak Ridge, and Lawrence Berkeley National Laboratories. Each QIS Center will incorporate a collaborative research team spanning multiple institutions as well as scientific and engineering disciplines. The private sector and academia will be providing another $300 million in contributions for the centers. The centers will focus on a range of key QIS research topics, including quantum networking, sensing, computing, and materials manufacturing.

The establishment of these new national AI and QIS institutes will not only accelerate discovery and innovation but will also promote job creation and workforce development. NSFs AI Research Institutes and DOES QIS Research Centers will include a strong emphasis on training, education, and outreach to help Americans of all backgrounds, ages, and skill levels participate in the 21st-century economy.

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NSF and DOE to Advance Industries of the Future | ARC Advisory - ARC Advisory Group

SINGAPORE The United States' unwillingness to spend money is its biggest disadvantage in a tech race with China, according to a cybersecurity and technology expert.

From imposing restrictions on telecommunications giant Huawei to issuing executive orders banning transactions with ByteDance, and forcing the company to sell the U.S. operations of the popular app TikTok, Washington has stepped up efforts to put pressure on China's technology firms in recent years.

This month, the U.S. Department of Defense said it is in discussions over whether Semiconductor Manufacturing International Corporation, China's largest chip manufacturer, should be subjected to export restrictions.

"The U.S.' biggest disadvantage in this tech race is its unwillingness to spend money," James Andrew Lewis, senior vice president and director of the Technology Policy Program at CSIS, said on CNBC's "Squawk Box Asia" on Thursday.

"Chinamight outspend us a 1,000-to-1 when it comes to investing in semiconductors and a 1,000-to-1 is no way to win the race," said Lewis, who previously worked for the U.S. Departments of State and Commerce. He explained that while there is bipartisan support for a bill to increase federal incentives to boost American leadership in semiconductor manufacturing, so far "it hasn't translated into money."

Semiconductors make up an important part of the tech race that also includes the U.S. and China competing for dominance in areas such as artificial intelligence and quantum computing.

"I think they are realizing that ifyou want to play in this game with China, you are going to have to spend more than a few million bucks," Lewis added.

SMIC is one of the major players in China's plans for a home-grown semiconductor industry. Most of the chips used in China today are imported, making the world's second-largest economy reliant on foreign suppliers for advanced semiconductors. Imposing export controls would cut off SMIC's access to U.S. firms that sell chip-making technology.

A lot of the funding in the Chinese semiconductor sector comes from the government. Reuters reported that the National Integrated Circuit Industry Investment Fund put up 139 billion yuan ($20 billion) for chip projects in 2014 and added another 204 billion yuan (about $29.8 billion) in 2019. There is also growing interest among private investors.

Still, it would take at least a decade for China to catch up to the U.S. in its ability to produce high-end chips that require a high degree of precision as well as scientific skills, Lewis said, adding that recent U.S. measures could slow down its progress.

"China has advantages a willingness to spend, a strong investment in technology, a very determined government but it also has disadvantages. I think where this will get played out is they have learned from the U.S. experience that technological leadership gives you power, influence in the world and they will pursue it," Lewis said.

"So, we are just at the start of a larger conflict where technology, economic forces and probably your kitchen appliances will play a bigger role," he added.

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Unwillingness to spend money is a disadvantage for the U.S. in its tech race with China, expert says - CNBC

Banks have sat near the technological frontier for many decades but the maturing of artificial intelligence, cloud computing, distributed ledger technology, the internet of things, virtual reality, 5G networks and quantum computing at similar times will create unprecedented challenges for institutions and their regulators.

The report points to NAB's work to migrate applications into Amazon Web Services illustrating a broader trend that will see US cloud giants play a more fundamental role in the Australian financial services sector.Bloomberg

The Swiss-based forum, famous for organising the annual Davos shindig, is urging industry leaders and regulators to imagine the outcomes when all of these technologies are combined rather than thinking about them individually. The message is it's the combined impact that matters.

This will undoubtedly be immense; examples already proliferate.

Take Barclays' work with IBM. In a recent trial, the British bank used IBMs cloud-based, seven-qubit quantum computer to speed up transaction settlements during a batch window. Germanys Commerzbank is testing sensors attached to construction cranes to tailor repayments to production levels and help borrowers manage liquidity. Citibank is using Microsoft's augmented reality gear to help its analysts visualise data.

It's becoming clear that the most cutting-edge developments are not coming from consumer-facing fintech applications but back-end processes. IT infrastructure and financial system plumbing can appear boring but the forum suggests the most transformative changes are happening behind the scenes, in the B2B world.

It's not so much about the threat of competition from Google, Apple and Amazon, but about these companies embedding themselves as enablers for financial institutions to increase value - and this points to the need to create alliances," says Arthur Calipo, who leads the financial services practice in Australia for Deloitte, which worked with the World Economic Forum on the report.

Google and Deutsche Bank signed a 10 year partnership in July for cloud services that includes a co-investment and revenue-sharing deal for new investments.AP

Given their cloud infrastructure, IBM and Microsoft are the other US tech giants that will play a fundamental role in banking as they help link disparate data sources together to create new insights.

These cloud giants will create new tensions. They will be accessible to new competitors, both fintechs and players in other sectors, unencumbered with bureaucracy and legacy bank systems. Traditional industry lines blur.

Incumbents are starting to understand that it's not so much speed and efficiency that will be the source of comparative advantage in the future, but their ability to assemble, to execute and to maintain healthy relationships with these powerful third-party vendors and, of course, with customers.

Banks will have to be fluent in all of these new and emerging technologies to play in the new economy. The ones that will flourish will need to understand what coordinated deployment looks like and develop a powerful innovation strategy around these interactions.

Artificial intelligence and cloud should be the critical anchors in any investment strategy with other technologies specifically enabled by these, the forum suggests.

Banks all over the world are carefully assessing and developing their relationships with cloud providers. Half of all global banking IT spending is going towards cloud projects, the report says, and deals are getting more sophisticated.

IBM's head of cloud services is briefing local banks and insurers on Friday on how it can help them manage the confluence of technologies. AP

For example, Google and Deutsche Bank announced in July a 10-year cloud partnership that also includes a co-investment strategy for new banking-related technologies and joint product development under a revenue-sharing agreement.

Locally, the forum calls out National Australia Bank's work with Amazon Web Services as a leading example of the migration of applications from legacy systems to the cloud, including NAB's entire foreign exchange platform and data lake, part of its large-scale IT transformation project.

Howard Boville, IBM's new global head of cloud computing, will brief about 20 banking and insurance sector executives on Friday on topics including secured cloud access, advanced automation, artificial intelligence and blockchain, at Trans-Tasman Business Circle event.

IBM, Amazon, Google and Microsoft are battling it out to be trusted partners for major institutions. The forum's report shows cloud is about far more than moving legacy systems and processes to an external provider, to reduce costs or bolster security.

It's also about access to much more powerful computing services. Think "artificial intelligence-as-a-service" and "quantum-computing-as-a-service", where banks can hire the latest systems to perform whatever functions needed.

Cloud providers could also drive banks' "know-your-client" (KYC) tools, analytics for assessing credit risk, and cyber-security services. As AI continuously learns from data provided by multiple financial clients it becomes more powerful than what a single institution could develop," the report says. Defending against new vulnerabilities will require solutions that are at ecosystem scale.

The World Economic Forum is trying of bring clarity to banks grappling with the impact of new technology. This is the 8th report in its Future of Financial Services series. Bloomberg

While COVID-19 has sucked up the banks' bandwidth this year, the forum suggests banks use it to accelerate the pace of digitisation, pointing to cautious signs of regulatory flexibility towards progressive innovation agendas.

Conditions for action have never been stronger, giving institutions the licence to pursue these innovation pathways at a pace and sophistication seldom seen before, it says.

The report provides many other pointers to where financial services is heading over the course of this decade. For example, banks will be forced to play a broader role in the digital "ecosystem" beyond finance, such as becoming a "trusted data steward" under open banking in Australia, and similar regimes, aboutearning new revenue streams by confirming customers' digital identity.

White-labelling of products will also become more common, as non-financial players seek to embed financial services in products. An example could be a gig worker application providing short-term loans in the app, based on data generated by the worker. The lender providing the loan might lose a direct customer relationship but could get access to data as a quid pro quo.

The use of sensor technology, real-time distributed ledgers and open data regimes will also see shifts towards continuous assessment of customers, including "just-in-time" lending where business borrowers can tap capital based on a dynamic assessment of their cash flow.

The report points to the birth of outcomes-based investment products, where institutions are paid for delivering a future experience; dynamic life and health insurance, with pricing linked to biometrics; and embedding payments into augmented reality.

Of course, the technological tsunami introduces many new risks, along with plenty of questions on environmental, social and corporate governance. For one, using blockchain and quantum computing consumes a lot of energy.

Deploying AI in a heavily regulated industry like financial services will also inevitably raise many issues, including the need to explain decision making and create "responsible AI" systems, the subject of a report by the forum last year.

The arrival of these new technologies will throw up many regulatory challenges: emerging risks will no longer sit neatly inside a supervised institution but instead could be dispersed across an interconnected set of players, including multinational technology companies and specialised fintechs.

While the consumer-facing fintechs get most of the attention, many start-ups are building applications to facilitate new market entrants enabled by "application programming interfaces" (APIs). For example, local start-ups Tic:Toc offers responsible lending-as-a-service; Kyckr provides KYC checks; Modul8 can handle payment card issuing.

It's a world where a new entrant can plug in what they need to service the customer without having to build everything themselves.

As Deloitte's Calipo points out, this creates new, strategic questions for banks. As they turn to big cloud providers, will they also be willing to use a variety of specialist service providers for work traditionally done in-house? Will they be willing to let other companies control customer relationships and supply product in the background, taking a clip of the revenue? And how will they manage the risk of all this?

The forum said its next report in the series will help to answer the third question, by examining how all the new emerging technologies create new sources of risk - but also how they will be able to be used to mitigate them.

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Combinations of new technologies will upend finance - The Australian Financial Review

LOS ANGELES, United States: QY Research as of late produced a research report titled, Global Quantum Software Market Report, History and Forecast 2015-2026, Breakdown Data by Companies, Key Regions, Types and Application. The research report speak about the potential development openings that exist in the worldwide market. The report is broken down on the basis of research procedures procured from historical and forecast information. The global Quantum Software market is relied upon to develop generously and flourish as far as volume and incentive during the gauge time frame. The report will give a knowledge about the development openings and controls that will build the market. Pursuers can increase important perception about the eventual fate of the market.

The global Quantum Software market size is projected to reach US$ XX million by 2026, from US$ XX million in 2020, at a CAGR of XX% during 2021-2026.

Key Companies/Manufacturers operating in the global Quantum Software market include: Origin Quantum Computing Technology, D Wave, IBM, Microsoft, Intel, Google, Ion Q,

Get PDF Sample Copy of the Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) :

https://www.qyresearch.com/sample-form/form/2095462/global-quantum-software-market

Segmental Analysis

The report incorporates significant sections, for example, type and end user and a variety of segments that decide the prospects of global Quantum Software market. Each type provide data with respect to the business esteem during the conjecture time frame. The application area likewise gives information by volume and consumption during the estimate time frame. The comprehension of this segment direct the readers in perceiving the significance of variables that shape the market development.

Global Quantum Software Market Segment By Type:

System SoftwareApplication Software

Global Quantum Software Market Segment By Application:

Big Data AnalysisBiochemical ManufacturingMachine Learning Global Quantum Software

Competitive Landscape

Competitor analysis is one of the best sections of the report that compares the progress of leading players based on crucial parameters, including market share, new developments, global reach, local competition, price, and production. From the nature of competition to future changes in the vendor landscape, the report provides in-depth analysis of the competition in the global Quantum Software market.

Key questions answered in the report:

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TOC

1 Market Overview of Quantum Software1.1 Quantum Software Market Overview1.1.1 Quantum Software Product Scope1.1.2 Market Status and Outlook1.2 Global Quantum Software Market Size Overview by Region 2015 VS 2020 VS 20261.3 Global Quantum Software Market Size by Region (2015-2026)1.4 Global Quantum Software Historic Market Size by Region (2015-2020)1.5 Global Quantum Software Market Size Forecast by Region (2021-2026)1.6 Key Regions, Quantum Software Market Size YoY Growth (2015-2026)1.6.1 North America Quantum Software Market Size YoY Growth (2015-2026)1.6.2 Europe Quantum Software Market Size YoY Growth (2015-2026)1.6.3 Asia-Pacific Quantum Software Market Size YoY Growth (2015-2026)1.6.4 Latin America Quantum Software Market Size YoY Growth (2015-2026)1.6.5 Middle East & Africa Quantum Software Market Size YoY Growth (2015-2026) 2 Quantum Software Market Overview by Type2.1 Global Quantum Software Market Size by Type: 2015 VS 2020 VS 20262.2 Global Quantum Software Historic Market Size by Type (2015-2020)2.3 Global Quantum Software Forecasted Market Size by Type (2021-2026)2.4 System Software2.5 Application Software 3 Quantum Software Market Overview by Application3.1 Global Quantum Software Market Size by Application: 2015 VS 2020 VS 20263.2 Global Quantum Software Historic Market Size by Application (2015-2020)3.3 Global Quantum Software Forecasted Market Size by Application (2021-2026)3.4 Big Data Analysis3.5 Biochemical Manufacturing3.6 Machine Learning 4 Global Quantum Software Competition Analysis by Players4.1 Global Quantum Software Market Size (Million US$) by Players (2015-2020)4.2 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Quantum Software as of 2019)4.3 Date of Key Manufacturers Enter into Quantum Software Market4.4 Global Top Players Quantum Software Headquarters and Area Served4.5 Key Players Quantum Software Product Solution and Service4.6 Competitive Status4.6.1 Quantum Software Market Concentration Rate4.6.2 Mergers & Acquisitions, Expansion Plans 5 Company (Top Players) Profiles and Key Data5.1 Origin Quantum Computing Technology5.1.1 Origin Quantum Computing Technology Profile5.1.2 Origin Quantum Computing Technology Main Business5.1.3 Origin Quantum Computing Technology Products, Services and Solutions5.1.4 Origin Quantum Computing Technology Revenue (US$ Million) & (2015-2020)5.1.5 Origin Quantum Computing Technology Recent Developments5.2 D Wave5.2.1 D Wave Profile5.2.2 D Wave Main Business and Companys Total Revenue5.2.3 D Wave Products, Services and Solutions5.2.4 D Wave Revenue (US$ Million) (2015-2020)5.2.5 D Wave Recent Development and Reaction to Covid-195.3 IBM5.5.1 IBM Profile5.3.2 IBM Main Business5.3.3 IBM Products, Services and Solutions5.3.4 IBM Revenue (US$ Million) & (2015-2020)5.3.5 Microsoft Recent Developments5.4 Microsoft5.4.1 Microsoft Profile5.4.2 Microsoft Main Business5.4.3 Microsoft Products, Services and Solutions5.4.4 Microsoft Revenue (US$ Million) & (2015-2020)5.4.5 Microsoft Recent Developments5.5 Intel5.5.1 Intel Profile5.5.2 Intel Main Business5.5.3 Intel Products, Services and Solutions5.5.4 Intel Revenue (US$ Million) & (2015-2020)5.5.5 Intel Recent Developments5.6 Google5.6.1 Google Profile5.6.2 Google Main Business5.6.3 Google Products, Services and Solutions5.6.4 Google Revenue (US$ Million) & (2015-2020)5.6.5 Google Recent Developments5.7 Ion Q5.7.1 Ion Q Profile5.7.2 Ion Q Main Business and Companys Total Revenue5.7.3 Ion Q Products, Services and Solutions5.7.4 Ion Q Revenue (US$ Million) (2015-2020)5.7.5 Ion Q Recent Development and Reaction to Covid-19 6 North America6.1 North America Quantum Software Market Size by Country6.2 United States6.3 Canada 7 Europe7.1 Europe Quantum Software Market Size by Country7.2 Germany7.3 France7.4 U.K.7.5 Italy7.6 Russia7.7 Nordic7.8 Rest of Europe 8 Asia-Pacific8.1 Asia-Pacific Quantum Software Market Size by Region8.2 China8.3 Japan8.4 South Korea8.5 Southeast Asia8.6 India8.7 Australia8.8 Rest of Asia-Pacific 9 Latin America9.1 Latin America Quantum Software Market Size by Country9.2 Mexico9.3 Brazil9.4 Rest of Latin America 10 Middle East & Africa10.1 Middle East & Africa Quantum Software Market Size by Country10.2 Turkey10.3 Saudi Arabia10.4 UAE10.5 Rest of Middle East & Africa 11 Quantum Software Market Dynamics11.1 Industry Trends11.2 Market Drivers11.3 Market Challenges11.4 Market Restraints 12 Research Finding /Conclusion 13 Methodology and Data Source 13.1 Methodology/Research Approach13.1.1 Research Programs/Design13.1.2 Market Size Estimation13.1.3 Market Breakdown and Data Triangulation13.2 Data Source13.2.1 Secondary Sources13.2.2 Primary Sources13.3 Disclaimer13.4 Author List

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Quantum Software Market: Global Industry Statistics and Facts Helps to Flourish Industry Rapidly QYR | Origin Quantum Computing Technology - The...