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

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...

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

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

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

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

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

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

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

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,

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System SoftwareApplication Software

Global Quantum Software Market Segment By Application:

Big Data AnalysisBiochemical ManufacturingMachine Learning Global Quantum Software

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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.

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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...

Quantum computing in the cloud – Xanadu discovered in Toronto – Diginomica

(Image by Gerd Altmann from Pixabay )

Moore's Law may not be sufficient when it comes to processing power. Some believe that computers are not getting faster fast enough for the emerging tasks that are expected of them, whether it's crunching vast data sets or looking for probabilistic connections within much smaller ones.

In areas such as drug discovery, particle physics, genomics, and materials research, quantum computing is increasingly proposed as a better model for the IT industry, alongside related quantum technologies such as timing, imaging, sensing, communications, and security. Yet all these are hard tech, which demands patient capital: long-term, speculative investment coupled with an appetite for risk and uncertain reward.

There are three key challenges facing all quantum innovators:

Canada isn't the first country that springs to mind as a potential leader in this space alongside the likes of the US, China, and the UK, but Toronto-based 2016 startup Xanadu aims to change that. It has launched what it claims is the world's first photonics-based quantum computing platform available commercially in the cloud.

According to an announcement from the company, the Xanadu Quantum Cloud currently gives developers access to eight- and 12-qubit processors, and soon a 24-qubit machine. As a photon- (light) based system for quantum calculations - as opposed to superconductor or ion-trap systems - these processors can operate at room temperature and could potentially integrate more easily with fibre-optic based telecommunications.

To date, Xanadu has raised $45 million from investors, alongside grants from the Defense Advanced Research Projects Agency (DARPA). Developers can already access its open-source tools Strawberry Fields and Penny Lane on GitHub, revealing a Beatles fan in its leader. That may suggest global ambitions.

So does the company plan to become a huge private fiefdom, like the Xanadu in Citizen Kane? Has a new computing Kublai Khan emerged to found a quantum dynasty? I spoke to founder and CEO Christian Weedbrook to find out.

First, is Xanadu a true quantum system, or merely using quantum elements to speed up processing within classical systems? He says:

It's the world's first photonics-based quantum computing cloud platform and we are truly excited about it. Every other cloud platform essentially uses electronics. Instead of photonics they use electrons - matter - and they have a very different approach to scaling up to a fully functioning, fault-tolerant quantum computer.

We decided to take a unique, alternative approach using light. One of the biggest advantages is the extremely low amounts of power that are needed to run these devices. We're leveraging the weird properties of quantum physics to do things that traditional computers, classical computers, would never be able to do. Or they could do it but it would take them hundreds of years.

A familiar message in terms of the time-saving element. But when it comes to commercialising it, is quantum computing a solution in search of a problem, or has Xanadu identified specific opportunities? Weedbrook says:

The world can always use more computing power. One way to think about the quantum computing landscape at the moment is you can break it up into two lines. The first is what we can do in the next three to five years with qubits that are noisy and don't have that fault tolerance or error correction. And the second is what can we do after that with a fully functioning, fault-tolerant quantum computer. But that's a very difficult machine to build.

In the near term, what differentiates Xanadu using a photonics-based approach is the things that we can do now, which have business applications - network planning, logistics, things of that nature.

Our plan is to get early adopters that we can build an ecosystem around: government labs in the US and here in Canada, financial institutions, large corporations - pharma and materials design are classic examples - and logistics. All these industries have problems that get more and more difficult, that don't scale well, so you need a quantum computer to help solve them. We have paying customers already on the platform.

What's remarkable in the last couple of years is that large corporations and banks such as Goldman Sachs have been forming small quantum computing teams, because they don't want to get left behind. But it's a unique skill set that only a few people in the world currently understand.

Indeed, some have suggested that is a concern. When technology becomes too abstract for most people to comprehend, then transparency and auditing are difficult. Who could explain or justify decisions made by quantum neural nets, for example?

That's a valid criticism. We have to be careful, particularly with a technology that may be the missing link to a singularity event. I don't think ethics and quantum computing should just be presented to you. It's something that the whole community should be converging on thinking about. But building a quantum computer that's fault tolerant - the end game - is extremely hard. It's not going to be built tomorrow, which gives us some time.

Does he see quantum computing as a distinct alternative to the classical world, an evolution of it, or simply a component for solving specific problems?

First, it's a safe bet that it will complement traditional computing whatever happens, in the same way that GPUs complement CPUs, or special-purpose chips complement other types. A computer will naturally access the CPU or the quantum processor when each is needed.

This is a personal view, but more and more I'm leaning towards quantum computing replacing old' computing. One reason is that, if you look at our photon-based approach, roughly speaking you can press a button and make this computer classical by making qubits act like normal bits of information. If quantum computing can infiltrate all computers, then you can just simulate a traditional computer, which means there is an opportunity to really take over all of the computing industry - up to a point.

The company's global ambitions seem evident. But until then, physics and history combine to pose some tricky problems. For example, putting a quantum computer in the cloud could put a brake on its power, given the slow speeds, latency, and poor reliability of some broadband infrastructures.

Yes, with quantum cloud quantum providers you do see that slowdown in retrieving the asset. I would say that there are some solutions to that, such as a hybrid system where you actually have a quantum chip on premise alongside AWS or Azure, for example.

But the ultimate goal is to have a quantum computer that can solve problems that a classical computer could never do, or would take thousands of years to solve. So slowing something down by an hour versus a thousand years is irrelevant. As you're scaling up and getting more powerful quantum computers through fault tolerance and error correction, any slowdown is going to be negligible compared to the size of the problem solving.

Are real applications emerging yet for such systems?

A lot of applications have been inspired by what's been done classically, and the thinking has been how do we make them quantum. But I think the true revolution will be in thinking about it from the quantum side of things. There's an analogy here with the PC revolution: people didn't really know what applications would be useful, there was no idea about the internet. I think there'll be something similar for quantum: we really don't know the full extent of what a quantum computer can do.

With a team that now numbers 58 - many of whom have PhDs - what drives Weedbrook and his colleagues: the academic research glory of pushing back the boundaries of human knowledge? Or something more commercially focused - given those Beatles allusions and the name itself, Xanadu? Both speak of lofty ambition...

I think often you see with startups, it's a clich to really want to solve huge, world-changing problems. Our mission statement has a hint of that, but to be honest it's too much of a clich now to really believe it. So, our mission statement is to make quantum computers, make them useful, and available to people everywhere.

It's how do you start in helping customers solve problems - like in drug discovery. How do you find the best candidates significantly faster in order to synthesise them? That problem's not going to change. So how best to solve it?

This may be correlated with the fact that we're working on subatomic particles, but it's in very small systems that you make real change in the world. The common examples are helping with global warming, curing cancer by identifying drugs, these are really important problems for humanity.

But taking a different approach, how do you stay excited on an individual, personal level each day? That gives you the best chance of solving truly important problems.

According to the 80s song, Xanadu is the place where "a million lights are dancing". That's photons for you. And it turns out it's not in China, but Toronto.

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Quantum computing in the cloud - Xanadu discovered in Toronto - Diginomica

EU will be more selective in choosing ‘like-minded’ global research partners, but officials say it’s not ‘Europe First’ – Science Business

The EUs push for technological sovereignty will see it limit some international research partnerships, but officials argue that it wont be Europe First.

While Europe cannot afford to be nave in the global technology race, it will continue to seek collaborations with like-minded partners, EU research commissioner Mariya Gabriel told a Science|Business conference on Tuesday.

Similarly, Jean-Eric Paquet, EU director general for research and innovation, who works directly under Gabriel, didnt rule out forming research partnerships with any specific country, but did say Brussels would be more selective in the areas it seeks cooperation.

In the last decade, we have not necessarily been analysing deeply enough where cooperation may not be in our interests, Paquet told the conference. EU officials would calibrate the research areas in which we will engage, in line with a broader political push to reduce Europes dependence on US or Chinese-origin technologies.

In practice, that means some funding calls under Horizon Europe, the EUs next research programme, will not allow the participation of certain countries for reasons linked to security.

This does not necessarily refer to China, Paquet noted, though he conceded that working and sharing research results with the superpower might not always be in our obvious interest. China is gaining ground in a range of technology fields that experts say could give the country an economic and military edge, including AI, microchips and quantum computing.

Brussels will consider limiting international research in strategic areas including cybersecurity, sixth generation wireless and quantum technologies, the director general said. We need to have a careful and deep look to see what well leave fully open.

Industry concerns

Global companies are voicing concern over EU rhetoric around sovereignty.

Ilham Kadri, CEO of Belgian chemical giant Solvay, warned against a protectionist vision, which she says could endanger European competitiveness.

Its unrealistic to design and produce all components of a product, or use only European technology, Kadri told Science|Business. The EU needs to respond to foreign protectionism without becoming protectionist itself and serving protectionist interests.

Kadri urged EU officials to instead prioritise policies to boost competitiveness. The COVID-19 crisis has exposed Europes heavy reliance on foreign supply chains and demonstrated the continent cannot rely solely on its own technology, she said.

Any re-industrialisation of supply chains related to a protectionist interpretation of technological sovereignty could reinforce the trend towards economic nationalism and deprive European companies of their international business space, Kadri said.

Choosier on research partners

Following the shift in EU thinking around technology independence, Paquet said there is a legitimate conversation to be had on whether non-EU countries should be admitted to particular innovation programmes under Horizon Europe.

Theres very good arguments to say innovation is nurtured in Europe with help from other big countries. On the other hand, this area is rather tightly correlated to our future productivity and competitiveness, Paquet said.

Australia, Canada, Japan, Singapore and New Zealand are some of the rich non-EU countries with which the commission has raised the possibility of a deeper research partnership from 2021.

Paquet said the first step is to check back in with these countries to assess their interest in joining the EUs research programme as associate members.

Then well see how our members see it, he said. Some member states have proposed keeping the European Innovation Council (EIC), a new instrument for backing market-ready ideas, open for EU states only.

Paquet suggested there wont be a blanket ban on non-EU countries accessing funding from EIC, or similar programmes. What would not be smart is to say, this is how it is for everyone. No, we will have flexibility, he said.

Commissioner Gabriel said researchers and entrepreneurs participating in Horizon Europe would still gain access to the best knowledge and networks in the world. There is no sovereignty versus cooperation [debate]. There is sovereignty plus cooperation, she said.

Not Europe First

Germany has made technology sovereignty one of the top priorities during its six-month presidency of the council of the EU, and is pushing forward a series of new initiatives to boost EU competitiveness in artificial intelligence, cloud computing, electronics manufacturing and vaccine production.

Initiatives already underway in Europe include a huge effort to stimulate battery production and a similar project to boost hydrogen technology.

Europe also needs to develop independent and secure communication infrastructure, which means exploiting new opportunities in quantum technology, while ensuring reliable internet connectivity and a supply of trustworthy microelectronics, according to Thomas Rachel, parliamentary state secretary in Germanys Federal Ministry of Education and Research.

We need fall back capabilities. Its not a simple Europe first [approach], he said. We do not want to be dependent on other continents in the world. But Europe has to also be the most open economy in the world. German companies will be the first to suffer if we were banned from other countries, Rachel said.

Some efforts dont work

German MEP Christian Ehler cautioned that unilateral or bilateral stabs at tech sovereignty are doomed to failure, citing France and Germanys joint GAIA-X project, which aims to build a federated computing network with specific European security standards.

The underlying concern is the lack of control and fear of being locked out of US-based cloud computing systems, as the US takes its own turn toward nationalism under president Donald Trump.

GAIA-X looks good on paper but it doesnt work, said Ehler. Technology sovereignty may be achievable at the level of the EU, but not for individual member states. We should understand that there is no longer national sovereignty, Ehler said.

Ehler also warned against overburdening researchers with more political imperatives. Horizon Europe is in danger of becoming a multi-purpose weapon, he said.

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EU will be more selective in choosing 'like-minded' global research partners, but officials say it's not 'Europe First' - Science Business

Eagle Global Advisors Announces the Launch of the Innovation Strategy, a Portfolio Focused on Secular Growth Trends and Disruptive Innovation -…

HOUSTON, Sept. 8, 2020 /PRNewswire/ -- Eagle Global Advisorsis pleased to announce the launch of the EGA Innovation Strategy, a globally focused, separate account portfolio developed to invest in the future economy by capitalizing on secular growth trends and disruptive innovation. The strategy's narrow and exclusive focus on the 'leaders of tomorrow' manifests itself in above average fundamentals such as sales growth and market share gains that sustain over the long-term.

"We are only scratching the surface of the potential of innovations whose names start with the English letter 'A' for Artificial Intelligence and Autonomous Vehicle. As you enter 'B' and 'C', you run into Blockchain and Cloud Gaming. A giant step to 'Q' will transport you to the world of Quantum Computing, which brings the promise of exponential parallel computing in 7-10 years," says portfolio manager Raj Miglani, CFA.

Eagle Global AdvisorsEagle Global Advisors was founded in 1996 by Edward Allen, Thomas Hunt, Steven Russo and John Gualy. The firm has been 100% employee owned since inception. The firm has a long history of managing infrastructure, international and domestic equity strategies. Today, the firm manages $1.8 billion for institutional and high net worth individuals and employs 32 professionals. To learn more about Eagle Global Advisors, please visit http://www.eagleglobal.com.

Please contact Steven Russo or [emailprotected] if you are interested in learning more about the EGA Innovation Strategy and Eagle Global Advisors.

SOURCE Eagle Global Advisors

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Eagle Global Advisors Announces the Launch of the Innovation Strategy, a Portfolio Focused on Secular Growth Trends and Disruptive Innovation -...

What’s the state of quantum computing? Led by IBM & Amazon it’s developing rapidly – WRAL Tech Wire

Editors note: Stephanie Long is Senior Analyst with Technology Business Research.

HAMPTON, N.H. Like IBM did with its Selectric typewriters in the 1960s, the company is successfully weaving its quantum computing thread through myriad aspects of the greater quantum ecosystem, underpinned by strategic sponsorships and the inclusion of partners in the IBM Quantum Experience.

Amazon Web Services (AWS) is pushing back on this approach by offering a vendor-agnostic view of quantum cloud computing.

Academia has also thrown its hat into the ring with ongoing innovation and advancements in quantum computing.

The competitive landscape of quantum computing has begun to take on the look and feel of the early classical computing world; however, the modern industry has addressed the mistakes made with classical computing, and therefore progress can be more formulaic and swift.

August 2020 developments are starting to tie pieces of investments together to show a glimpse of when the post-quantum world may come, and as advancements continue the future state appears closer on the horizon than previously thought.

Duke joins $115M program to focus on development of quantum computing

If you would like more detailed information around the quantum computing market, please inquire about TBRsQuantum Computing Market Landscape,a semiannual deep dive into the quantum computing market. Our most recent version, which focused on services, was released in June. Look for our next iteration in December, focused on middleware.

(C) TBR

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What's the state of quantum computing? Led by IBM & Amazon it's developing rapidly - WRAL Tech Wire

Global Scale of the Quantum Computing Opportunity – Quantaneo, the Quantum Computing Source

The quantum computing economy is real and growing IBM (NYSE: IBM) is a headline sponsor of London Tech Week, with Bob Sutor, VP IBM Quantum Ecosystem Development, IBM Research, emphasising the collaborative approach of IBMs Q Network towards continued development of the quantum computing ecosystem. Archer is a member of the global IBM Q Network, and as part of an agreement with IBM, plans to use Qiskit as the software stack for its 12CQ qubit processors. Archer aims to build the 12CQ chip for quantum computing operation at room-temperature and integration onboard modern electronic devices. Sutor sent a clear message to sceptics of quantum computing, highlighting some extraordinary stats of the rapid user uptake of IBMs quantum tech solutions: in 4 years IBMs Qiskit quantum development platform has grown to 250,000+ registered users, and over 1 billion quantum hardware circuits are now being run on IBMs quantum computers each day! Other giants are also involved in the quantum economy, and Daniel Franke from Merck Ventures, the strategic, corporate venture capital arm of the pharmaceutical giant Merck (NYSE: MRK), updated delegates on their efforts to integrate with the emerging global quantum research ecosystem. Mercks approach saw the formation of numerous partnerships with start-ups, industry peers and academia with over 50 staff dedicated to a quantum computing taskforce focused on what they dubbed performance materials in the life sciences and pharmaceutical arena. A positive quantum disruption to entire economies UK Parliamentary Under-Secretary of State for Science, Research and Innovation Amanda Solloway, highlighted the UKs National Quantum Technology Programme, which is set to attract more than 1 billion (A$1.8 billion) of public and private investment over its 10-year duration. Much of this investment over the next 5 years is to boost the UKs thriving technology ecosystem post-COVID19 and infrastructure that is quantum best-in-class globally, to develop the UKs first commercially available quantum computer, and new infrastructure including the National Quantum Computing Centre (NQCC). Quantum hardware: the new Smart Tech There was a bold consensus among panellists involving UK-based start-ups and a number of global players in the quantum computing space: a move to hybrid computing over the next 5 years and full quantum computing over the next 10 years. The time horizons come with the caveat of the need to progress quantum computing technology, including potential solutions to practical quantum computing, e.g. overcoming commercial limitations posed by excessive cooling requirements of current quantum computers. Progress in technology development a key market catalyst A year ago, delegates (including Archer) at the Quantum.Tech conference in Boston USA, heard a myriad of venture capitalist concerns of a quantum winter, and the inconvenience of quantum technologys deep tech time-to-market all compounded with uncertainties in market size. Now, at the Quantum Summit, corporate venture challenges appear to be shifting to a potential need to reframe a 1 to 2-year risk appetite towards a deep tech value-driven 5 to 10-year framework. This is to better capitalise on the global-scale of opportunity that quantum computing is now beginning to rapidly validate. It is clear that quantum computing is not just a faster computer. Even though early-stage quantum computing applications are not yet general purpose, examples of disruptive enterprise-scale solutions are spanning globally relevant industries of life sciences, finance, and telecommunications. We are excited in participating in the upcoming sessions of London Tech Week, and particularly as invited delegates of the Virtual Mission (Australian companies) which begins tonight, and I look forward to updating our shareholders on key outcomes at the conclusion of London Tech Week.

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Global Scale of the Quantum Computing Opportunity - Quantaneo, the Quantum Computing Source