G7 urged to take ‘allied action’ against China on artificial intelligence, quantum and 5G – Science Business

Almost 70 prominent legislators from the G7 group of rich nations and the European Parliament havepenneda letter to the leaders of their countries urging them to unite around a plan of action against China that addresses its growing market power in artificial intelligence (AI), quantum computing and 5G technology.

In a letter published on Monday before a G7 summit in the UK in June, signatories from the US, Canada, Japan, Germany, France, the UK, Italy and the European Parliament criticised China for "manning bottleneck positions" in international bodies, and called on G7 leaders to "avoid becoming dependent" on China for technology.

The power inherent to platform technologies such as quantum computing and AI cannot be overstated, tweeted Norbert Rttgen, chairman of the foreign affairs committee in Germany's Bundestag, who organised the letter. China has taken the lead in some of these future industries. The free world must avoid becoming dependent on a country that rejects market principles and democratic values.

The letter points to five areas of concern where the leaders called for allied action, including international institutional reform, technological standards, human rights, tensions in the Indo-pacific regions and co-operation on COVID-19. The statement also highlights the treatment of the Muslim Uighur population, described as genocide by the outgoing US secretary of state, Mike Pompeo.

China is accused of holding back critical information on COVID-19 at an early stage and undermining the World Health Organisation. "To prepare and prevent future outbreaks, we believe that an independent investigation into the origins and spread of the virus is necessary," the letter says.

China is pushing back. In an address to the virtual World Economic Forum Monday, the countrys president,Xi Jinping, sent out a warning to Joe Biden that he risks a new cold war if he continues with the policies of his predecessor.

Xi instead touted a multilateral approach to solving the economic crisis caused by COVID-19 and said the pandemic should not be used as an excuse to reverse globalisation in favour of decoupling and seclusion.

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G7 urged to take 'allied action' against China on artificial intelligence, quantum and 5G - Science Business

2020 Global Quantum Computing Technologies Market Demand, Revenue, Top Companies, Growth Opportunities, Competitive Landscape Analysis Research Report…

The latest statistical and qualitative analysis of Quantum Computing Technologies Industry on the Global and Regional level is presented in this report. The complete evaluation of market size, revenue, growth, demand, and Quantum Computing Technologies import-export is offered in this study. The key market segments are divided based on top Quantum Computing Technologies companies, types, applications or end-users, and regions. The key inclusion and exclusion criteria along with industry dynamics in terms of Quantum Computing Technologies drivers, restraints, opportunities, and challenges are stated. The regulatory scenarios by regions & countries as well as strategic market investment scenarios are explained.

Quantum Computing Technologies COVID 19 impact on industry advancements, supply chain, and impact on demand, price, and growth is studied. The SWOT analysis, Porters Five Forces analysis, and PEST analysis are conducted. The Quantum Computing Technologies global industry trends, macro-economic policies, industry news, and policies are specified. Also, the downstream major customer analysis is conducted.

Click here to receive a Free sample report to have a clear industry picture and key [emailprotected]https://www.reportscheck.com/shop/covid-19-outbreak-global-quantum-computing-technologies-industry-market-report-development-trends-threats-opportunities-and-competitive-landscape-in-2020/#sample-request

The top companies analysed in this research are: Nokia Bell LabsAirbus GroupGoogle Quantum AI LabIBMAlibaba Group Holding LimitedToshibaCambridge Quantum ComputingIntel CorporationMicrosoft Quantum Architectures

The key product types are: SoftwareHardware

The top application studied are: GovernmentBusinessHigh-TechBFSIManufacturing & LogisticsOther

The Quantum Computing Technologies revenue in US$ Mn is provided by comparing different product types on a global and regional level. Also, the market attractiveness analysis by type from 2015-2026 is covered. Similarly, the end-user analysis, regional analysis, and industry outlook are stated.

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The Y-o-Y growth rate comparison is calculated from 2015-2026 for each type, region, and end-user. The vital regions studied in this report include Quantum Computing Technologies presence across North America, South America, Europe, Asia-Pacific, Middle East & Africa, and the rest of the world. In the next part, top company profiles are presented with company overview, Business portfolio, product details, key financials, global revenue share by region, and SWOT analysis.

The most crucial Quantum Computing Technologies key financial segment analyzes the revenue (US$ Mn), operating income, net margin %, gross margin %, capital spending, production capacity, net income, and more. Also, the competitive scenario is reflected by competition among different industry players in terms of marketing strategies, growth opportunities, new product launches, and developments.

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The research methodology consists of qualitative and quantitative analysis derived using primary and secondary databases. The top-down and bottom-up approaches are used to derive and validate the Quantum Computing Technologies Industry statistics. Paid primary interviews are conducted with Quantum Computing Technologies manufacturers, dealers, marketing managers, product managers, R&D people, VPs, directors, and more.

The manufacturing processes, technological advancements, Quantum Computing Technologies cost structure, price trends are analyzed in detail. The forecast analysis based on the potential demand from Quantum Computing Technologies downstream clients, government, influencing factors, and policy changes are reflected.

The secondary data sources consist of data gathered from Quantum Computing Technologies Industrys annual reports, presentations, press releases, national customs, statistical yearbook, and more. Each companys revenue is obtained from paid databases, Hoovers, Factiva, Bloomberg Business, public databases to name a few.

The primary research assists in the analysis of segmentation types, Quantum Computing Technologies product price range, raw materials supply, downstream consumption, industry status & outlook. Hence, thorough and comprehensive research is done by Reportscheck to deliver reliable, up-to-date, and complete insights.

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AI Helps Solve Schrdinger’s Equation What Does The Future Hold? – Analytics India Magazine

Scientists at the Freie Universitt Berlin have come up with an AI-based solution for calculating the ground state of the Schrdinger equation in quantum chemistry.

The Schrdingers equation is primarily used to predict the chemical and physical properties of a molecule based on the arrangement of its atoms. The equation helps determine where the electrons and nuclei of a molecule are and under a given set of conditions what their energies are.

The equation has the same central importance as Newtons law motion, which can predict an objects position at a particular moment, but in quantum mechanics that is in atoms or subatomic particles.

The article describes how the neural network developed by the scientists at the Freie Universitt Berlin brings more accuracy in solving the Schrdingers equation and what does this mean for the future.

In principle, the Schrdingers equation can be solved to predict the exact location of atoms or subatomic particles in a molecule, but in practice, this is extremely difficult since it involves a lot of approximation.

Central to the equation is a mathematical object, a wave function that specifies electrons behaviour in a molecule. But the high dimensionality of the wave function makes it extremely difficult to find out how electrons affect each other. Thus the most you get from the mathematical representations is a probabilistic account of it and not exact answers.

This limits the accuracy with which we can find properties of a molecule like the configuration, conformation, size, and shape, which can help define the wave function. The process becomes so complex that it becomes impossible to implement the equation beyond a few atoms.

Replacing the mathematical building blocks, the scientists at Freie Universitt Berlin came up with a deep neural network that is capable of learning the complex patterns of how electrons are located around the nuclei.

The scientists developed a Deep Neural Networks (DNN) model, PauliNet, that has several advantages over conventional methods to study quantum systems like the Quantum Monte Carlo or other classical quantum chemistry methods.

The DNN model developed by these scientists is highly flexible and allows for a variational approach that can aid accurate calculation of electronic properties beyond the electronic energies.

Secondly, it also helps the easy calculation of many-body and more-complex correlation with fewer determinants, reducing the need for higher computation power. The model mainly helped solve a major tradeoff issue between accuracy and computational cost, often faced while solving the Schrodinger equation.

The model can also calculate the local energy of heavy nuclei like heavy metals without using pseudo-potentials or approximations.

Lastly, the model developed in the study has anti-symmetry functions and other principles crucial to electronic wave functions integrated into the DNN model, rather than let the model learn. Thus, building fundamental physics in the model has helped it make meaningful and accurate predictions.

In recent years, artificial intelligence has helped solve many scientific problems that otherwise seemed impossible using traditional methods.

AI has become instrumental in anticipating the results of experiments or simulations of quantum systems, especially due to its sciences complex nature. In 2018, reinforcement learning was used to design new quantum experiments in automated laboratories autonomously.

Recent efforts by the University of Warwick and another IBM and DeepMind have also tried to solve the Schrdingers equation. However, PauliNet, with its greater accuracy of solving the equation now, presents us with a potential to use it in many real-life applications.

Understanding molecules composition can help accelerate drug-discovery, which earlier was difficult due to the approximations to understand its properties.

Similarly, it could also help discover several other elements or metamaterials like new catalysts, industrial chemical applications, new pesticides, among others. It can be used in characterising molecules that are synthesised in laboratories.

Several academic and commercial software use Schrdingers equation at the core but are based on applications. The accuracy of this software will improve. Quantum computing in itself is based on quantum phenomena of superposition and is made up of qubits that take advantage of the principle. Quantum computing performance will improve as qubits will be able to be measured faster.

While the current study has come up with a faster, cheaper, and accurate solution, there are many challenges to overcome before it is industry-ready.

However, once it is ready, the world will witness many applications as a result of greater accuracy in solving Schrdingers equation.

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AI Helps Solve Schrdinger's Equation What Does The Future Hold? - Analytics India Magazine

The Year Ahead: 3 Predictions From the ‘Father of the Internet’ Vint Cerf – Nextgov

In 2011, the movie "Contagion" eerily predicted what a future world fighting a deadly pandemic would look like. In 2020, I, along with hundreds of thousands of people around the world, saw this Hollywood prediction play out by being diagnosed with COVID-19. It was a frightening year by any measure, as every person was impacted in unique ways.

Having been involved in the development of the Internet in the 1970s, Ive seen first-hand the impact of technology on peoples lives. We are now seeing another major milestone in our lifetimethe development of a COVID-19 vaccine.

What the"Contagion" didnt show is what happens after a vaccine is developed. Now, as we enter 2021, and with the first doses of a COVID-19 vaccine being administered, a return to normal feels within reach. But what will our return to normal look like really? Here are threepredictions for 2021.

1. Continuous and episodic Internet of Medical Things monitoring devices will prove popular for remote medical diagnosis. The COVID-19 pandemic has dramatically changed the practice of clinical medicine at least in the parts of the world where Internet access is widely available and at high enough speeds to support video conferencing. A video consult is often the only choice open to patients short of going to a hospital when outpatient care is insufficient. Video-medicine is unsatisfying in the absence of good clinical data (temperature, blood pressure, pulse for example). The consequence is that health monitoring and measurement devices are increasingly valued to support remote medical diagnosis.

My Prediction: While the COVID-19 pandemic persists into 2021, demand for remote monitoring and measurement will increase. In the long run, this will lead to periodic and continuous monitoring and alerting for a wide range of chronic medical conditions. Remote medicine and early warning health prediction will in turn help citizens save on health care costs and improve and further extend life expectancy.

2. Cities will (finally) adopt self-driving cars. Self-driving cars are anything but new, having emerged from a Defense Advanced Research Projects Agency Grand Challenge in 2004. Sixteen years later, many companies are competing to make this a reality but skeptics around this technology remain.

My Prediction: In the COVID-19 aftermath, I predict driverless car service will grow in 2021 as people will opt for rides that minimize exposure to drivers and self-clean after every passenger. More cities and states will embrace driverless technology to accommodate changing transportation and public transportation preferences.

3. A practical quantum computation will be demonstrated. In 2019, Google reported that it had demonstrated an important quantum supremacy milestone by showing a computation in minutes that would have taken a conventional computer thousands of years to complete. The computation, however, did not solve any particular practical problem.

My Prediction: In the intervening period, progress has been made and it seems likely that by 2021, we will see some serious application of quantum computing to solve one or more optimization problems in mechanical design, logistics scheduling or resource allocation that would be impractical with conventional supercomputing.

Despite the challenges 2020 presented, it also unlocked some opportunities like leapfrogging with tech adoption. My hope is that the public sector sustains the speed for innovation and development to unlock even greater advancements in the year ahead.

Vinton G. Cerf is vice president and chief Internet evangelist for Google. Cerf has held positions at MCI, the Corporation for National Research Initiatives, Stanford University, UCLA and IBM. Vint Cerf served as chairman of the board of the Internet Corporation for Assigned Names and Numbers (ICANN) and was founding president of the Internet Society. He served on the U.S. National Science Board from 2013-2018.

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The Year Ahead: 3 Predictions From the 'Father of the Internet' Vint Cerf - Nextgov

Photonic processor heralds new computing era | The Engineer The Engineer – The Engineer

A multinational team of researchers has developed a photonic processor that uses light instead of electronics and could help usher in a new dawn in computing.

Current computing relies on electrical current passed through circuitry on ever-smaller chips, but in recent years this technology has been bumping up against its physical limits.

To facilitate the next generation of computation-hungry technology such as artificial intelligence and autonomous vehicles, researchers have been searching for new methods to process and store data that circumvent those limits, and photonic processors are the obvious candidate.

Funding boost for UK quantum computing

Featuring scientists from the Universities of Oxford, Mnster, Exeter, Pittsburgh, cole Polytechnique Fdrale (EPFL) and IBM Research Europe, the team developed a new approach and processor architecture.

The photonic prototype essentially combines processing and data storage functionalities onto a single chip so-called in-memory processing, but using light.

Light-based processors for speeding up tasks in the field of machine learning enable complex mathematical tasks to be processed at high speeds and throughputs, said Mnster Universitys Wolfram Pernice, one of the professors who led the research.

This is much faster than conventional chips which rely on electronic data transfer, such as graphic cards or specialised hardware like TPUs [Tensor Processing Unit].

Led by Pernice, the team combined integrated photonic devices with phase-change materials (PCMs) to deliver super-fast, energy-efficient matrix-vector (MV) multiplications. MV multiplications underpin much of modern computing from AI to machine learning and neural network processing and the imperative to carry out such calculations at ever-increasing speeds, but with lower energy consumption, is driving the development of a whole new class of processor chips, so-called tensor processing units (TPUs).

The team developed a new type of photonic TPU capable of carrying out multiple MV multiplications simultaneously and in parallel. This was facilitated by using a chip-based frequency comb as a light source, which enabled the team to use multiple wavelengths of light to do parallel calculations since light has the property of having different colours that do not interfere.

Our study is the first to apply frequency combs in the field of artificially neural networks, said Tobias Kippenberg, Professor at EPFL

The frequency comb provides a variety of optical wavelengths which are processed independently of one another in the same photonic chip.

Described in Nature, the photonic processor is part of a new wave of light-based computing that could fundamentally reshape the digital world and prompt major advances in a range of areas, from AI and neural networks to medical diagnosis.

Our results could have a wide range of applications, said Prof Harish Bhaskaran from the University of Oxford.

A photonic TPU could quickly and efficiently process huge data sets used for medical diagnoses, such as those from CT, MRI and PET scanners.

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Photonic processor heralds new computing era | The Engineer The Engineer - The Engineer

Global Quantum Computing Market Predicted to Garner $667.3 Million by 2027, Growing at 30.0% CAGR from 2020 to 2027 – [193 pages] Informative Report…

New York, USA, Dec. 22, 2020 (GLOBE NEWSWIRE) -- A latest report published by Research Dive on the globalquantum computing market sheds light on the current outlook and future growth of the market. As per the report, the global quantum computing market is expected to garner $667.3 million by growing at a CAGR of 30.0% from 2020 to 2027. This report is drafted by market experts by evaluating all the important aspects of the market. It is a perfect source of information and statistics for new entrants, market players, shareholders, stakeholders, investors, etc.

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The report includes:

A summary of the market with its definition, advantages, and application areas. Detailed insights on market position, dynamics, statistics, growth rate, revenues, market shares, and future predictions. Key market segments, boomers, restraints, and investment opportunities. Present situation of the global as well as regional market from the viewpoint of companies, countries, and end industries. Information on leading companies, current market trends and developments, Porter Five Analysis, and top winning business strategies.

Factors Impacting the Market Growth:

As per the report, the growing cyber-attacks across the world is hugely contributing to the growth of the global quantum computing market. Moreover, the rising implementation of quantum computing technologies in agriculture for helping farmers to improve the efficiency and yield of crops is likely to unlock rewarding opportunities for the market growth. However, absence of highly experienced employees, having knowledge regarding quantum computing is likely to hinder the market growth.

Access Varied Market Reports Bearing Extensive Analysis of the Market Situation, Updated With The Impact of COVID-19: https://www.researchdive.com/covid-19-insights

COVID-19 Impact Analysis:

The sudden outbreak of COVID-19 pandemic has made a significant impact on the global quantum computing market. During this crisis period, quantum computing technology can be used for medical research and other activities related to COVID-19 pandemic. Moreover, the technology can be beneficial for developing advanced drugs at an accelerated speed and for analyzing different types of interactions between biomolecules and fight infectious like viruses. In addition, businesses are greatly investing in the development of quantum computers for drug discovery amidst the crisis period. All these factors are expected to unlock novel investment opportunities for the market growth in the upcoming years.

Check out all Information and communication technology & media Industry Reports: https://www.researchdive.com/information-and-communication-technology-and-media

Segment Analysis:

The report segments the quantum computing market into offerings type, end user, and application.

By offerings type, the report further categorizes the market into: Consulting solutions Systems

Among these, the systems segment is expected to dominate the market by garnering a revenue of $313.3 million by 2027. This is mainly due to growing use of quantum computing in AI, radar making, machine learning technologies, and many others.

Based on application, the report further classifies the market into: Optimization Machine Learning Material Simulation

Among these, themachine learning segment is expected to observe accelerated growth and garner $236.9 million by 2027. This is mainly due to significant role of quantum computing in enhancing runtime, capacity, and learning efficiency. Moreover, quantum machine learning has the potential to speed-up various machine learning processes such as optimization, linear algebra, deep learning, and Kernel evaluation, which is likely to boost the market growth during the forecast period.

Regional Analysis:

The report explains the lookout of the global quantum computing market across several regions, including: Europe Asia Pacific LAMEA North America

Among these, the Asia-Pacific region is estimated to lead the market growth by growing at a striking growth rate of 31.60% during the forecast period. This is mainly because of the growing adoption of quantum computing technologies in numerous sectors including chemicals, healthcare, utilities & pharmaceuticals, and others in this region.

Market Players and Business Strategies:

The report offers a list of global key players in the quantum computing market and discloses some of their strategies and developments. The key players listed in the report are:

QC Ware, Corp. Cambridge Quantum Computing Limited D-Wave Systems Inc., International Business Machines Corporation Rigetti Computing 1QB Information Technologies River Lane Research StationQ Microsoft Anyon Google Inc.

These players are massively contributing to the growth of the market by performing activities such as mergers and acquisitions, novel developments, geographical expansions, and many more.

Our market experts have made use of several tools, methodologies, and research methods to get in-depth insights of the global quantum computing sector. Moreover, we strive to deliver a customized report to fulfill special requirements of our clients, on demand.Click Here to Get Absolute Top Companies Development Strategies Summary Report.

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Global Quantum Computing Market Predicted to Garner $667.3 Million by 2027, Growing at 30.0% CAGR from 2020 to 2027 - [193 pages] Informative Report...

Beam me up: long-distance quantum teleportation has happened for the first time ever – SYFY WIRE

Raise your hand if you ever wanted to get beamed onto the transport deck of the USS Enterprise. Maybe we havent reached the point of teleporting entire human beings yet (sorry Scotty), but what we have achieved is a huge breakthrough towards quantum internet.

Led by Caltech, a collaborative team from Fermilab, NASAs Jet Propulsion Lab, Harvard University, the University of Calgary and AT&T have now successfully teleported qubits (basic units of quantum info) across almost 14 miles of fiber optic cables with 90 percentprecision. This is because of quantum entanglement, the phenomenon in which quantum particles which are mysteriously entangled behave exactly the same even when far away from each other.

When quantum internet is finally a thing, it will make Wifi look obsolete and dial-up even more ancient than it already is. We achieved sustained, high-fidelity quantum teleportation utilizing time-bin (time-of-arrival_ qubits of light, at the telecommunication wavelength of 1.5 microns, over fiber optic cables, Panagiotis Spentzouris, Head of Quantum Science at the Fermilab Quantum Institute, told SYFY WIRE. This type of qubit is compatible with several devices that are required for the deployment of quantum networks.

What you might recognize is the fiber optic cables used in the experiment, since they are everywhere in telecommunication tech today. Lasers, electronics and optical equipment which were also used for the experiments at Caltech (CQNET) and Fermilab (FQNET) that could someday evolve into the next iteration of internet. Though this is equipment you probably also recognize, what it did for these experiments was enable them to go off without a glitch. Information traveled across the cables at warp speed with the help of semi-autonomous systems that monitored it while while managing control and synchronization of the entangled particles. The system could run for up to a week without human intervention.

So if entangled qubits are inextricably linked despite the distance between them, is there even a limit to how far information can travel? Hypothetically, they could go on forever. What limits exist in reality are not in the qubits but the effects of their surroundings. While one of the qubits containing information stays where it is, the other one has to zoom over to wherever it needs to transfer that information. It could run into obstacles on the way.

What limits the distance that information can be transmitted is loss and noise: either from the properties of the medium we use to send the information or the effects of the environment on the medium, or imperfections on the various operations we need to perform to realize the information transfer, Spentzouris, who coauthored a study recently published in PRX Qunatum, said.

To keep quantum internet running at high precision and over distances around what it was able to cover in this experiment, the quantum teleportation that powers it needs quantum memory and quantum repeaters. Quantum memory is basically the quantum version of the memory your computer and smartphone use now. Instead of storing memory as something like 100101011, it stores it in the form of qubits. To make it possible for entangled qubits to travel as far as possible, quantum repeaters make it easier for those qubits to traverse by splitting it into sections over which they are teleported.

With this system, Spentzouris and his team are planning to lay out the epic Illinois Express Quantum Network (IEQNET), which will use the same technologies that the CQNET and FQNET experiments so successfully pulled off. More tech will obviously needed to realize this sci-fi brainchild. It will combine quantum and non-quantum functions for its quantum nodes and controls. The only thing missing will be the repeaters, since they will need more development to operate over such an expanse. Spentzouris believes quantum computing itself reaches far beyond internet.

Fully distributed quantum computing includes applications include GPS, secure computation beyond anything that can be achieved now, all the way to enabling advances in designing new materials and medicine, as well basic science discoveries, he said. It will unleash the full power of quantum computing and have a profound impact on our lives.

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Beam me up: long-distance quantum teleportation has happened for the first time ever - SYFY WIRE

Two Years into the Government’s National Quantum Initiative – Nextgov

Monday markedtwo years since the passage of the National Quantum Initiative, or NQI Actand in that time, federal agencies followed through on its early calls and helped lay the groundwork for new breakthroughs across the U.S. quantum realm.

Now, the sights of those helping implement the law are set on the future.

I would say in five years, something we'd love to see is ... a better idea of, What are the applications for a quantum computer thats buildable in the next fiveto 10 years, that would be beneficial to society? the Office of Science and Technology Policy Assistant Director for Quantum Information Science Dr. Charles Tahan told Nextgov in an interview Friday. He also serves as the director of the National Quantum Coordination Officea cooperation-pushing hub established by the legislation.

Tahan reflected on some foundational moves made over the last 24 months and offered a glimpse into his teams big-ticket priorities for 2021.

Quantum devices and technologies are among an ever-evolving field that hones in on phenomena at the atomic scale. Potential applications are coming to light, and are expected to radically reshape science, engineering, computing, networking, sensing, communication and more. They offer promises like unhackable internet or navigation support in places disconnected from GPS.

Federal agencies have a long history of exploring physical sciences and quantum-related pursuitsbut previous efforts were often siloed. Signed by President Donald Trump in 2018, the NQI Act sought to provide for a coordinated federal program to accelerate quantum research and development for the economic and national security of America. It assigned specific jobs for the National Institute of Standards and Technology, Energy Department and National Science Foundation, among others, and mandated new collaborations to boost the nations quantum workforce talent pipeline and strengthen societys grasp of this relatively fresh area of investment. The functions of the National Quantum Coordination Office, or NQCO, were also set forth in the bill, and it was officially instituted in early 2019. Since then, the group has helped connect an array of relevant stakeholders and facilitate new initiatives proposed by the law.

Now, everything that's been called out in the act has been establishedits started up, Tahan explained. He noted the three agencies with weighty responsibilities spent 2019 planning out their courses of action within their communities, and this year, subsequently launched weighty new efforts.

One of the latest was unveiled in August by the Energy Department, which awarded $625 million over five yearssubject to appropriationsto its Argonne, Brookhaven, Fermi, Oak Ridge and Lawrence Berkeley national laboratories to establish QIS Research Centers. In each, top thinkers will link up to push forward collaborative research spanning many disciplines. Academic and private-sector institutions also pledged to provide $340 million in contributions for the work.

These are about $25 million eachthat's a tremendous amount of students, and postdocs, and researchers, Tahan said. And those are spread out across the country, focusing on all different areas of quantum: computing, sensing and networking.

NSF this summer also revealed the formation of new Quantum Leap Challenge Institutes to tackle fundamental research hurdles in quantum information science and engineering over the next half-decade. The University of Colorado, University of Illinois-Urbana-Champaign, and University of California, Berkeley are set to head and house the first three institutes, though Tahan confirmed more could be launched next year. The initiative is backed by $75 million in federal fundingand while it will take advantage of existing infrastructures, non-governmental entities involved are also making their own investments and constructing new facilities.

That's the foundation, you know, Tahan said. The teams have been formed, the research plans have been writtenthat's a tremendous amount of workand now they're off actually working. So now, we start to reap the rewards because all the heavy lifting of getting people organized has been done.

Together with NSF, OSTP also helped set in motion the National Q-12 Education Partnership. It intends to connect public, private and academic sector quantum players and cohesively create and release learning materials to help U.S. educators produce new courses to engage students with quantum fields. The work is ultimately meant to spur K-12 students' interest in the emerging areas earlier into their education, and NSF will award nearly $1 million across QIS education efforts through the work.

And beyond the governments walls and those of academia, the NQI Act also presented new opportunities for industry. Meeting the laws requirements, NIST helped convene a consortium of cross-sector stakeholders to strategically confront existing quantum-related technology, standards and workforce gaps, and needs. This year, that groupthe Quantum Economic Development Consortium, or QED-Cbloomed in size, established a more formal membership structure and announced companies that make up its steering committee.

It took a year or more to get all these companies together and then write partnership agreements. So, that partnership agreement was completed towards the beginning of summer, and the steering committee signed it over the summer, and now there are I think 100 companies or so who have signed it, Tahan said. So, it's up and running. It's a real economic development consortiumthats a technical thingand that's a big deal. And how big it is, and how fast it's growing is really, really remarkable.

This fall also brought the launch of quantum.gov, a one-stop website streamlining federal work and policies. The quantum coordination office simultaneously released a comprehensive roadmap pinpointing crucial areas of needed research, deemed the Quantum Frontiers Report.

That assessment incorporates data collected from many workshops, and prior efforts OSTP held to promote the national initiative and establishes eight frontiers that contain core problems with fundamental questions confronting QIS today and must be addressed to push forward research and development breakthroughs in the space. They include expanding opportunities for quantum technologies to benefit society, characterizing and mitigating quantum errors, and more.

It tries to cut through the hype a little bit, Tahan explained. It's a field that requires deep technical expertise. So, it's easy to be led in the wrong direction if you don't have all the data. So we try to narrow it down into here are the important problems, here's what we really don't know, heres what we do know, and go this way, and that will, hopefully benefit the whole enterprise.

Quantum-focused strides have also been made by the U.S. on the international front. Tahan pointed to the first quantum cooperation agreement signed between America and Japan late last year, which laid out basic core values guiding their working together.

We've been using that as a model to engage with other countries. We've had high-level meetings with Australia, industry collaborations with the U.K., and we're engaging with other countries. So, that's progressing, Tahan said. Many countries are interested in quantum as you can guesstheres a lot of investments around the worldand many want to work with us on going faster together.

China had also made its own notable quantum investments (some predating the NQI Act), and touted new claims of quantum supremacy, following Google, on the global stage this year.

I wouldn't frame it as a competition ... We are still very much in the research phase here, and we'll see how those things pan out, Tahan said. I think we're taking the right steps, collectively. The U.S. ecosystem of companies, nonprofits and governments arebased on our strategy, both technical and policiesgoing in the right direction and making the right investments.

Vice President-elect Kamala Harris previously put forthlegislationto broadly advance quantum research, but at this point, the Biden administration hasnt publicly shared any intentions to prioritize government-steered ongoing or future quantum efforts.

[One of] the big things we're looking towards in the next year, is workforce development. We have a critical shortage or need for talent in this space. Its a very diverse set of skills. With these new centers, just do the math. How many students and postdocs are you going to need to fill up those, to do all that research? It's a very large number, Tahan said. And so we're working on something to create that pipeline.

In that light, the team will work to continue to develop NSFs ongoing, Q-12 partnership. Theyll also reflect on whats been built so far through the national initiative to identify any crucial needs that may have been looked over.

As you stand something up thats really big, you're always going to make some mistakes. What have you missed? Tahan noted.

And going forward, the group plans to hone deeper in on balancing the economic and security implications of the burgeoning fields.

As the technology gets more and more advanced, how do we be first to realize everything but also protect our investments? Tahan said. And getting that balance right is going to require careful policy thinking about how to update the way the United States does things.

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Two Years into the Government's National Quantum Initiative - Nextgov

Bitcoin is quantum computing resistant regardless of rising fears among investors – FXStreet

All cryptocurrencies are based on cryptography and require miners to solve extremely complex mathematical problems in order to secure the network. The idea behind quantum computing is that it will be able to crack Bitcoins algorithm much faster than the network.

The basic principle is that Bitcoins network has to be sufficiently fast in order for a quantum attacker to not have enough time to derive the private key of a specific public key before the network.

So far, it seems that quantum computers would take around 8 hours to derive a Bitcoin private key which, in theory, means the network is secure against them. It seems that the mark right now is around 10 minutes. If quantum computers can get close to this time, the Bitcoin network could be compromised.

Its also important to note that quantum computing not only poses a threat to Bitcoin and cryptocurrencies but to other platforms, even banks. Many platforms use encryption which would be broken if quantum computing becomes real, which means the implications of this technology go way beyond just cryptocurrencies.

Theoretically, cryptocurrencies have several ways to mitigate or completely stop quantum computing attacks in the future. For instance, a soft fork on the network of an asset could be enough to at least move some of the assets that are insecure.

Additionally, there are many algorithms that are theorized to be quantum-resistant. In fact, SHA-256 which is currently used should be resistant to these types of attacks. According to recent statistics, around 25% of Bitcoin in circulation remains vulnerable to quantum attacks. You should transfer your coins to a new p2pkh address to make sure they are safe.

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Bitcoin is quantum computing resistant regardless of rising fears among investors - FXStreet

Scaling the heights of quantum computing to deliver real results – Chinadaily.com.cn – China Daily

Jiuzhang, a quantum computer prototype developed at the University of Science and Technology of China, represents such a giant leap forward in computing that just 200 seconds of its time dedicated to a specific task would equal 600 million years of computing time for today's current most powerful supercomputer.

On Dec 4, Science magazine announced a major breakthrough made by a team from USTC headed by renowned physicist Pan Jianwei. The team had jointly developed a 76-photon Jiuzhang, realizing an initial milestone on the path to full-scale quantum computing.

This quantum computational advantage, also known as "quantum supremacy", established China's leading position in the sphere of quantum computing research in the world.

USTC has produced a string of wonders: Sending Wukong, China-'s first dark matter particle explorer, and Mozi, the world's first quantum communication satellite, into space; and witnessing the National Synchrotron Radiation Laboratory sending off light from the Hefei Light Source.

During the past 50 years, USTC has made significant achievements in the fields of quantum physics, high-temperature superconductivity, thermonuclear fusion, artificial intelligence and nanomaterials.

Technology is the foundation of a country's prosperity, while innovation is the soul of national progress.

Since 1970, when USTC was relocated to Hefei, Anhui province, it has focused on research and innovation, targeting basic and strategic work in a bid to fulfill its oath to scale "the peak of sciences".

The large number of world-renowned innovative achievements shined glory on USTC, exhibiting its courage to innovate, daring to surpass its peers and unremitting pursuit of striving to be a top university in the world.

Although USTC was set up only 62 years ago, it established the country's first national laboratory and also the first national research center. It has obtained the largest number of achievements selected among China's Top 10 News for Scientific and Technological Progress each year since its founding.

Its reputation as an "important stronghold of innovation" has become stronger over the years.

While facing the frontiers of world science and technology, the main economic battlefield, the major needs of China and people's healthcare, USTC focuses on cultivating high-level scientific and technological innovation talents and teams, and shoulders national tasks.

It has used innovation to generate transformative technologies and develop strategic emerging industries, perfecting its ability to serve national strategic demand, and regional economic and social development.

Facing sci-tech frontiers

USTC has top disciplines covering mathematics, physics, chemistry, Earth and space sciences, biology and materials science. While based on basic research, USTC pays close attention to cutting-edge exploration, encouraging innovative achievements.

Serving major needs

In response to major national needs, USTC has led and participated in a number of significant scientific and technological projects that showcase the nation's strategic aims.

For example, sending the Mozi satellite and Wukong probe into space. Meanwhile, it also participated in the development of core components of Tiangong-2, China's first space lab, and Tianwen-1, the nation's first Mars exploration mission.

Main economic battlefield

In the face of economic and social development needs, USTC has balanced meeting national needs and boosting exploration in frontier spheres.

It has witnessed a series of innovative achievements in the fields of materials science, energy, environment, advanced manufacturing, AI, big data and security.

Safeguarding health

USTC's School of Life Sciences was founded in 1958 with emphasis on biophysics. In recent years, this flourished into many branches of biological sciences.

The new School of Life Sciences was established in Hefei in 1998. Based on its years of cultivation in the field of life sciences, the university has contributed much to China's medical science.

In 2020, the university developed the "USTC protocol" to treat COVID-19 patients, which has been introduced to more than 20 countries and regions.

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Scaling the heights of quantum computing to deliver real results - Chinadaily.com.cn - China Daily