New Delhi: The government has created an empowered Technology Group consisting of 12 members which will be headed the Principal Scientific Adviser to Government of India Professor K Vijay Raghavan. The Union Cabinet, chaired by the Prime Minister Narendra Modi approved the decision today.

"This Group is mandated to render timely policy advice on latest technologies; mapping of technology and technology products; commercialisation of dual use technologies developed in national laboratories and government R&D organisations; developing an indigenisation road map for selected key technologies; and selection of appropriate R&D programs leading to technology development," said the statement issued by the Press Information Bureau.

The Constitution of Technology Group may address the issues of silo-centric approaches to development of technology, technology standards either not developed or applied, leading to sub-optimal industrial development, dual use technologies not being optimally commercialised, R&D programs not aligned to efforts at technology development and need for mapping of technologies important for applications in society and industry.

ET had reported earlier that VijayRaghavan also heads a committee on AI which is tasked with developing a roadmap for AI in the country. The committee also has representation from the secretary in the department of science and technology, the CEO of Niti Aayog and secretary of the ministry of electronics and IT. The government has also announced Rs. 8,000 funding for Quantum Computing in the Budget 2020.

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Govt creates tech group to chart the tech landscape for India - Economic Times

While quantum computing tends to garner all the headlines, quantum technology also has huge promise for the communication networks of the future. Thats why on top of the roughly $450 million the Trump administration just earmarked for quantum research in their proposed budget, theres $25 million dedicated to building a nationwide quantum internet.

At what point a quantum network becomes the quantum internet is up for debate, but its likely to develop in phases of increasing sophistication, with the ultimate goal being a global network of quantum-connected quantum computers.

The US is well behind China on this front, though. A team led by quantum supremo Jian-Wei Pan have already demonstrated a host of breakthroughs in transmitting quantum signals to satellites, most recently developing a mobile quantum satellite station.

The reason both countries are rushing to develop the technology is that it could provide an ultra-secure communication channel in an era where cyberwarfare is becoming increasingly common.

Its essentially impossible to eavesdrop on a quantum conversation. The strange rules of quantum mechanics mean that measuring a quantum state immediately changes it, so any message encoded in quantum states will be corrupted if someone tries to intercept it.

But quantum states are also intrinsically fragile, which has made it difficult to establish quantum connections over large distances. But a team led by Pan has reported smashing the record for connecting two quantum memories in a paper in Nature.

Making a quantum connection relies on a phenomenon known as entanglement. If the states of two quantum objects are entangled, manipulating or measuring the state of one will be mirrored in the other. In theory this allows you to transmit quantum information instantaneously over very large distances.

So far most research has been done on entangled photonsincluding Pans work on quantum satellitesbut single particles can only carry limited information. Quantum memories, which are made up of clouds of millions of rubidium atoms, can store more, but the biggest distance theyd previously been entangled over was 1.3 kilometers.

Pans team came up with a clever workaround, as John Timmer explains in Ars Technica. Each quantum memory is set by shooting a photon at it, which causes the memory to emit another photon that is entangled with the state of the memory. This photon is then converted to an infrared wavelength so it can be transmitted over fiber optic cable.

The photons from each memory meet at a halfway point where they are measured in such a way that they become entangled. Because each was already entangled with their respective memories, these both become entangled as well, setting up the quantum connection.

The researchers carried out two experiments, one where they transmitted photons over 22 kilometers of cable buried underground between two separate facilities and one where they sent the particles around a 50-kilometer spool of optical cable in their lab.

The authors say those kinds of distances make it feasible to connect cities on a quantum internet and could be used to create quantum repeaters, a series of nodes that help boost the signal over longer distances.

But theres still some way to go. The process of converting the photons into a form that can travel along the fiber optic loses about 30 percent of the photons. The complex process involved in entangling the two photons also leads to further inefficiencies, which means theyre only able to successfully entangle photons roughly twice a second.

Thats a problem, because the memories only hold their state for 70 microseconds. The researchers admit they likely need to both boost the lifetime of the memories and the rate of entanglement for this approach to work in practice.

Its early, but the research is a significant step towards a quantum internet. If the US wants to play any part in its development, its going to have to play catch-up.

Image Credit: Garik Barseghyan from Pixabay

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This Breakthrough Just Got Us One Step Closer to a Quantum Internet - Singularity Hub

From Texas Standard:

The Trump administration's fiscal year 2021 budget proposal includes significant increases in funding for artificial intelligence and quantum computing, while cutting overall research and development spending. If Congress agrees to it, funding for artificial intelligence, or AI, would nearly double, and quantum computing would receive a 50% boost over last year's budget, doubling in 2022 to $860 million. The administration says these two fields of research are important to U.S. national security, in part, because China also invests heavily in these fields.

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

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

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

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

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

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

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

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

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

Written by Shelly Brisbin.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Correcting the jitters in quantum devices - MIT News

The QUANTUM COMPUTING TECHNOLOGIES market research report added by Report Ocean, is an in-depth analysis of the latest trends, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market introduction, QUANTUM COMPUTING TECHNOLOGIES market definition, regional market scope, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, QUANTUM COMPUTING TECHNOLOGIES market size forecast, 100+ market data, Tables, Pie Chart, Graphs and Figures, and many more for business intelligence.

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In the QUANTUM COMPUTING TECHNOLOGIES Market, some of the major companies are:

D-Wave Systems Inc.IBM CorporationLockheed Martin CorporationIntel CorporationAnyon Systems Inc.Cambridge Quantum Computing Limited

The report consists of various chapters and company profiling is a major among them. Company profiling garners business intelligence and track key elements of a business, such as:

QUANTUM COMPUTING TECHNOLOGIES Market: Insights

Global Quantum Computing Technologies Market valued approximately USD 75.0 million in 2018 is anticipated to grow with a healthy growth rate of more than 24.0% over the forecast period 2019-2026. The Quantum Computing Technologies Market is continuously growing in the global scenario at significant pace. As it is recognized as a computer technology based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum level. A Quantum computer follows the laws of quantum physics through which it can gain enormous power, have the ability to be in multiple states and perform tasks using all possible permutations simultaneously. Surging implementation of machine learning by quantum computer, escalating application in cryptography and capability in simulating intricate systems are the substantial driving factors of the market during the forecast period. Moreover, rising adoption & utility in cyber security is the factors that likely to create numerous opportunity in the near future. However, lack of skilled professionals is one of the major factors that restraining the growth of the market during the forecast period.

The regional analysis of Global Quantum Computing Technologies Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share due to increasing usage of quantum computers by government agencies and aerospace & defense for machine learning in the region. Europe is estimated to grow at second largest region in the global Quantum Computing Technologies market over the upcoming years. Further, Asia-Pacific is anticipated to exhibit higher growth rate / CAGR over the forecast period 2019-2026 due to rising adoption of quantum computers by BFSI sectors in the region.

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The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players.

The Global QUANTUM COMPUTING TECHNOLOGIES Market is segmented into various sub-groups to understand the market scenario in detail, the market segmentation are as follows:

By Application:OptimizationMachine LearningSimulation

By Vertical:BFSIIT and TelecommunicationHealthcareTransportationGovernmentAerospace & DefenseOthers

Other Report Highlights Competitive Landscape Sales, Market Share, Geographical Presence, Business Segments Product Benchmarking. Market Dynamics Drivers and Restraints. Market Trends. Porter Five Forces Analysis. SWOT Analysis.

Furthermore, the years considered for the study are as follows:

Historical year 2013-2017

Base year 2018

Forecast period** 2019 to 2025 [** unless otherwise stated]

Regional split of the Global QUANTUM COMPUTING TECHNOLOGIES Market research report is as follows:

The market research study offers in-depth regional analysis along with the current market scenarios. The major regions analyzed in the study are:

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Questions answered in the QUANTUM COMPUTING TECHNOLOGIES market research report:

Key highlights and important features of the Report:

Overview and highlights of product and application segments of the global QUANTUM COMPUTING TECHNOLOGIES Market are provided. Highlights of the segmentation study include price, revenue, sales, sales growth rate, and market share by product.

Explore about Sales data of key players of the global QUANTUM COMPUTING TECHNOLOGIES Market as well as some useful information on their business. It talks about the gross margin, price, revenue, products, and their specifications, type, applications, competitors, manufacturing base, and the main business of key players operating in the QUANTUM COMPUTING TECHNOLOGIES Market.

Explore about gross margin, sales, revenue, production, market share, CAGR, and market size by region.

Describe QUANTUM COMPUTING TECHNOLOGIES Market Findings and Conclusion, Appendix, methodology and data source;

Research Methodology:

We identify the major drivers and restraints for every region (North America, Latin America, Europe, Asia Pacific, & Middle East) of any particular market with a weightage value of how it is impacting the market. For each driver and restraint, we provide weightage in short term, medium term, and long term. Here the driver acts as a pull factor and restraint as a push factor.

Primary ResearchKey players in the market are identified through review of secondary sources such as industry whitepapers, annual reports, published reports by credible agencies, financial reports and published interviews of Key Opinion Leaders (KOLs) from leading companies. During the primary interviews, KOLs also suggested some producers that are included under the initial scope of the study. We further refined company profile section by adding suggested producers by KOLs. KOLs include Chief Executive Officer (CEO), general managers, vice presidents, sales directors, market executives, R&D directors, product managers, procurement managers, export managers etc. During the research process, all the major stakeholders across the value chain are contacted for conducting primary interviews.

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There are 15 Chapters to display the Global QUANTUM COMPUTING TECHNOLOGIES Market:

Chapter 1, to describe Definition, Specifications and Classification of Global QUANTUM COMPUTING TECHNOLOGIES, Applications of, Market Segment by Regions;Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;Chapter 11, to analyze the Consumers Analysis of Global QUANTUM COMPUTING TECHNOLOGIES by region, type and application;Chapter 12, to describe QUANTUM COMPUTING TECHNOLOGIES Research Findings and Conclusion, Appendix, methodology and data source;Chapter 13, 14 and 15, to describe QUANTUM COMPUTING TECHNOLOGIES sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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QUANTUM COMPUTING TECHNOLOGIES Market: Comprehensive study explores Huge Growth in Future | D-Wave Systems Inc., IBM Corporation, Lockheed Martin...

Devs, a limited series that premieres March 5th on Hulu, tells the story of fictional quantum computing company Amaya. It's a pretty typical tech giant, complete with shuttle buses taking employees to a campus deep in the woods. Lily Chan (Sonoya Mizuno) works in encryption, while her boyfriend Sergei (Karl Glusman) specializes in life simulations. Katie (Alison Pill), Stewart (Stephen McKinley Henderson) and Lyndon (Cailee Spaeny) all work in the secretive "Devs" division, whose exact nature is revealed to us over the course of eight episodes. And then there's Forest (Nick Offerman), the soft-spoken CEO, whose grief over a lost child is so great he not only named the company after her, but he built a giant statue of her in the middle of the corporate campus.

Devs doesn't frame any of these people as being particularly remarkable. We're never treated to a montage of the staff working all-nighters fueled by nachos and Red Bull. They don't walk up to a chalkboard full of equations and write down an answer others have been seeking for months. Our young prodigy, Lyndon, isn't even that young he's 19, and we're never given some exposition about how he was recruited as a child or some other clichd nonsense. Even Forest escapes any kind of hagiography, with his origins in tech and the rise of the company kept completely out of the narrative. The past doesn't matter; nothing really matters except what they do now.

And everything they're doing now revolves around the quantum computer and the predictive code that runs on it.

The system is hidden inside a bunker situated in the middle of a forest. To reach the office you must cross a gold-lined vacuum chamber inside an electromagnetically-supported clear cube. The quantum computer is a delicate structure of metal fittings and wires inside a glass case, reminiscent of an old pendulum clock underneath a glass dome. The characters are often shown pondering it in silence. The camera occasionally approaches it as if it's a character itself, implying the sense of something happening.

The techno thrillers of the '90s (I once saw them referred to as "techsploitation" movies, which seemed apt) leaned on how little we knew about the internet back then. We lacked the knowledge to question what they showed us, and fear of the unknown is an easy well for filmmakers to draw upon. Now we all carry supercomputers in our pockets. Plus, many of us know someone who works in IT or CS, so it's less mysterious now. It's just so ordinary these days. We're not scared of tech anymore.

A show like Black Mirror can scream "technology is bad" all it wants, but in most episodes, the problem isn't the tech itself. It's more how it's used and how it affects people. A mother monitors her daughter's every action via a cranial implant. Two heterosexual men discover mutual attraction through VR. A woman becomes obsessed with her social standing, expressed in a literal score. As best evidenced by the happy ending of 'San Junipero,' it's not the technology itself that is good or evil, but what you choose to do with it.

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Alex Garlands new show wants you to be scared of tech again - Engadget

Quantum Computing Market Overview:

Verified Market Research adds new research report Quantum Computing Market Development Overview 2020, The report includes an in-depth analysis of the toggle switch market, taking into account market dynamics, segmentation, geographic expansion, competitive landscape and some other key issues. The market analysts who prepared the report have thoroughly examined the toggle switch market and provided reliable and accurate data. They understand the needs of the industry and customers, which makes it easier for them to focus on the problems that end users have been looking for. The research report provides an analysis of an assessment of existing and future trends in which players can invest. It also includes an assessment of the players financial perspectives and the nature of the competition.

Global Quantum Computing Market was valued at USD 89.35 million in 2016 and is projected to reach USD 948.82 million by 2025, growing at a CAGR of 30.02% from 2017 to 2025.

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Top 10 Companies in the Quantum Computing Market Research Report:

Competitive Landscape

The competitive landscape is a must-have information for the marketplayersto withstand the competition present in theglobal Quantum Computing market. This further helps the market participants to develop effective strategies to optimize their market positions. Moreover, the competitive analysis helps them to determine potential advantages as well as barriers within the global Quantum Computing market. This way, they can monitor how their competitors are implementing various strategies including pricing, marketing, and distribution.

The report analyses thecurrent trends, growth opportunities, competitive pricing, restraining factors, and boosters that may have an impact on the overall dynamics of the global Quantum Computing market. The report analytically studies the microeconomic and macroeconomic factors affecting the global Quantum Computing market growth. New and emerging technologies that may influence the global Quantum Computing market growth are also being studied in the report.

Global Quantum Computing Market: Regional Segmentation

For a deeper understanding, the research report includes geographical segmentation of the global Quantum Computing market. It provides an evaluation of the volatility of the political scenarios and amends likely to be made to the regulatory structures. This assessment gives an accurate analysis of the regional-wise growth of the global Quantum Computing market.

Regions Covered by the global market for Quantum Computing :

Middle East and Africa (GCC countries and Egypt)North America (USA, Mexico and Canada)South America (Brazil, etc.)Europe (Turkey, Germany, Russia, Great Britain, Italy, France etc.)Asia Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia and Australia)

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TAGS: Quantum Computing Market Size, Quantum Computing Market Growth, Quantum Computing Market Forecast, Quantum Computing Market Analysis, Quantum Computing Market Trends, Quantum Computing Market

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Quantum Computing Market Analysis With Key Players, Applications, Trends and Forecast To 2026 - Instant Tech News

Roundup It's a long weekend in the US, though sadly not in Blighty. So, for those of you starting your week, here's some bite-sized machine-learning news, beyond what we've recently covered, if that's your jam.

Check your training data: A popular dataset for training self-driving vehicles, including an open-source autonomous car system, failed to correctly label hundreds of pedestrians and thousands of vehicles.

Brad Dwyer, founder of Roboflow, a startup focused on building data science tools, discovered the errors when he started digging into the dataset compiled by Udacity, an online education platform.

I first noticed images that were missing annotations, Dwyer told The Register. That led me to dig in deeper and check some of the other images. I found so many errors I ended up going through all 15,000 images because I didnt want to re-share a dataset that had such obvious errors.

After flicking through each image, he found that 33 per cent of them contained mistakes. Thousands of vehicles, hundreds of pedestrians, and dozens of cyclists were not labelled. Some of the bounding boxes around objects were duplicated or needlessly oversized too.

Training an autonomous car on such an incomplete dataset could potentially be dangerous. The collection was pulled together to make it easier for engineers to collaborate and build a self-driving car. Thankfully, a project to develop such a system using this information seems to have died down since it launched more than three years ago.

Udacity created this dataset years ago as a tool purely for educational purposes, back when self-driving car datasets were very hard to come by, and those learning the skills needed to develop a career in this field lacked adequate training resources, a Udacity spokesperson told El Reg.

At the time it was helpful to the researchers and engineers who were transitioning into the autonomous vehicle community. In the intervening years, companies like Waymo, nuTonomy, and Voyage have published newer, better datasets intended for real-world scenarios. As a result, our project hasn't been active for three years.

We make no representations that the dataset is fully labeled or complete. Any attempts to show this educational data set as an actual dataset are both misleading and unhelpful. Udacity's self-driving car currently operates for educational purposes only on a closed test track. Our car has not operated on public streets for several years, so our car poses no risk to the public.

Roboflow has since corrected the errors on the dataset, and issued an improved version.

Standing up to patent trolls works: Mycroft AI, a startup building an open-source voice-controlled assistant for Linux-based devices, was sued for allegedly infringing a couple of patents, as we reported earlier this month.

Mycrofts CEO Joshua Montgomery spoke to The Register about his strong suspicions that he was being targeted by a so-called patent troll. His biz was told by a lawyer representing the patents' owner to cough up a license fee, and when Montgomery ignored the request, a patent-infringement lawsuit was filed against his company.

The mysterious patent owner, Voice Tech Corp, turned out to a brand new company in Texas, USA, and its address was someones bungalow, according to court filings. All of that fueled the growing speculation that, yes, Voice Tech Corp, was probably a patent troll.

Now, after facing sufficient resistance from Mycroft, Voice Tech Corp has dropped its case. Montgomery threatened to fight the lawsuit all the way to get Voice Tech Corps patents invalidated so that no other startup would have to face the same problem.

More Clearview drama: The controversial facial-recognition outfit that admitted to harvesting more than three billion publicly shared photos from social media sites is back in the news again.

The American Civil Liberties Union (ACLU) revealed it is trying to get Clearview to remove the claim from its marketing that its facial recognition code was verified using a methodology used by the ACLU. The rights warriors said they had no involvement in the product and do not endorse it. In fact, the union is pretty much against everything Clearview is doing.

Clearview boasts that its technology is 99 per cent accurate following numerous tests. Buzzfeed News, however, reckons it is nowhere near that good. The upstart previously said its algorithms helped police in New York City catch a terrorist planning to plant fake bombs on the subway. NYPD denied using Clearviews software.

Google, YouTube, Twitter, and Facebook have sent Clearview cease-and-desist letters demanding the startup stop scraping images of their platforms, and to delete those in its database. In a bizarre interview, Clearviews CEO fought back and said he believed that since all the photos were public, his stateside company, therefore, had a First Amendment right to public information." Er, yeah right.

Public funding for AI, 5G: President Donald Trump has vowed to spend more of US taxpayers' money on the research and development of emergent technologies, such as AI, quantum computing, and 5G, than traditional sciences.

The Budget prioritizes accelerating AI solutions, according to a proposal, subject to congressional approval, published this week. Along with quantum information sciences, advanced manufacturing, biotechnology, and 5G research and development (R&D), these technologies will be at the forefront of shaping future economies.

The Budget proposes large increases for key industries, including doubling AI and quantum information sciences R&D by 2022 as part of an all-of-Government approach to ensure the United States leads the world in these areas well into the future.

Trump pledged to spend $142.2bn in R&D for the next fiscal year, nine per cent less than this year. While AI and quantum computing are favored, there's less federal funding for general research and development for the other sciences.

The Department of Energy, the National Science Foundation, the National Institutes of Health, and others, will see cuts. The DOEs Advanced Research Projects Agency-Energy (ARPA-E) will be particularly hard hit: not only does the proposed budget effectively eliminate the agency, it must pay back $311m to the treasury.

You can read more about the proposed budget for the fiscal year of 2021, here.

CEO of AI startup steps down over allegations: The CEO of Clinc, a small artificial-intelligence outfit spun out of the University of Michigan, has resigned following claims he sexually harassed employees and customers.

Jason Mars, an assistant professor of computer science at the university, was accused of physically accosting clients, making lewd comments about female employees and interns, and hiring a prostitute during a work trip.

In an email to employees at Clinc, first reported by The Verge, Mars said the allegations against him were rife with embellishments and fabrications. He did, however, admit to drinking too much and partying with staff in a way thats not becoming of a CEO.

Sponsored: Detecting cyber attacks as a small to medium business

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Please check your data: A self-driving car dataset failed to label hundreds of pedestrians, thousands of vehicles - The Register

The report titled on Quantum Computing Market report offers in-intensity analysis of the worldwide market size (Production, Value and Consumption), splits the breakdown (data status 2014-2019 and 6 Forces forecast 2020 to 2026), by manufacturers, region, type and application. Quantum Computing market competitive landscape provides details by topmost manufactures like (D-Wave Systems, Google, IBM, Intel, Microsoft, 1QB Information Technologies, Anyon Systems, Cambridge Quantum Computing, ID Quantique, IonQ, QbitLogic, QC Ware, Quantum Circuits, Qubitekk, QxBranch, Rigetti Computing), including Company Overview, Company Total Revenue (Financials), Market Potential, Presence, Quantum Computing Sales and Revenue Generated, Market Share, Price, Production Sites And Facilities, SWOT Analysis, Product Launch. In the end, there are 4 key segments covered in this Quantum Computing market report: Competitor Segment, Product Type Segment, End Use/Application Segment and Quantum Computing industry geography segment.

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Quantum Computing Market Report Offers Comprehensive Assessment of:

1) Executive Summary, 2) Quantum Computing Market Overview, 3) Key Market Trends, 4) Key Success Factors, 5) Market Demand/Consumption (Value or Size in US$ Mn) Analysis, 6) Quantum Computing Market Background, 7) Quantum Computing industry Analysis & Forecast 20202026 by Type, Application and Region, 8) Quantum Computing Market Structure Analysis, 9) Competition Landscape, 10) Company Share and Company Profiles, 11) Assumptions and Acronyms and, 12) Research Methodology etc.

Scope of Quantum Computing Market:Quantum computing is a technology that applies the laws of quantum mechanics to computational ability. It includes three states, namely 1, 0 as well as the superposition of 1 and 0. Superposition indicates that two states exist at the same time. These bits are known as quantum bits or qubits. The global quantum computing market consists of the hardware that is required to develop quantum computers and its peripherals.

North America accounted for the largest share of the overall quantum computing market in 2017. On the other hand, Asia Pacific (APAC) would be the fastest growing region for quantum computing during the forecast period. This growth can be attributed to the increasing demand for quantum technology to solve the most tedious and complex problems in the defense and banking & finance industry.

On the basis of product type, this report displays the shipments, revenue (Million USD), price, and market share and growth rate of each type.

Hardware Software Services

On the basis on the end users/applications,this report focuses on the status and outlook for major applications/end users, shipments, revenue (Million USD), price, and market share and growth rate foreach application.

Defense Healthcare & pharmaceuticals Chemicals Banking & finance Energy & power

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The report offers in-depth assessment of the growth and other aspects of the Quantum Computing Market in Important Countries (Regions), including:

Important Key Questions Answered In Quantum Computing Market Report:

What will the Market Growth Rate, Overview, and Analysis by Type of Quantum Computing in 2026?

What are the key factors affecting market dynamics? What are the Drivers, Challenges, and Business Risks in Quantum Computing market?

What is Dynamics, This Overview Includes Analysis of Scope and price analysis of top Manufacturers Profiles?

Who Are Opportunities, Risk and Driving Force of Quantum Computing market? Knows Upstream Raw Materials Sourcing and Downstream Buyers.

Who are the key manufacturers in space? Business Overview by Type, Applications, Gross Margin, and Quantum Computing Market Share

What are the Opportunities and Threats Faced by Manufacturers in the global Quantum Computing market?

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Quantum Computing Market Size Outlook 2026: Prime Firms, Trends, Growth Factors Details by Regions, Sorts and Applications - Instant Tech News

Quantum entanglement is a phenomenon in which two particles become indistinguishably linked

A Chinese research team claims to have smashed the previous record for maintaining two quantum memories in an entangled state at maximum distance.

According to the researchers, they were able to realise entanglement of two quantum memories over 22 kilometres of field-deployed fibres via two-photon interference. With this feat, they smashed the 1.3-kilometre record achieved during previous quantum memory experiments.

The researchers said that they were also able to achieve entanglement over 50 kilometres of coiled fibres via single-photon interference.

The researchers used two quantum memories that were each made of about 100 million extremely cold rubidium atoms

Quantum entanglement is a phenomenon in which two particles become indistinguishably linked, and whatever happens to one particle instantly affects the other, irrespective of the distance between them.

According to the researchers, entanglement can be used to create encrypted communications channels that are secured against hacking by the laws of quantum physics.

Researchers earlier realised entanglement of individual photons across distances beyond 1,000 kilometres. But, entanglement becomes much harder to achieve for larger systems of particles.

In the current study, the researchers used two quantum memories that were each made of about 100 million extremely cold rubidium atoms.

The team entangled the quantum state of each system with the state of a single photon and then sent both photons through the fibre-optic cables

They encoded information onto the clouds of atoms and then extracted a photon from each cloud. The team entangled the quantum state of each system with the state of a single photon and then sent both photons through the fibre-optic cables.

When Bell measurement was performed simultaneously on two photons, the quantum memories with which the photons were paired became entangled to one another.

In this experiment, the entanglement of two quantum memories was maintained over 22 kilometres of fibre-optic cable, installed underground.

In another experiment, the team managed to entangle quantum memories across 50 kilometres using cables that were coiled up in the lab.

"Our experiment could be extended to nodes physically separated by similar distances, which would thus form a functional segment of the atomic quantum network, paving the way towards establishing atomic entanglement over many nodes and over much longer distances," the researchers said.

The study was jointly conducted by researchers from the University of Science and Technology of China (USTC), Shanghai Institute of Microsystem and Information Technology, and Jinan Institute of Quantum Technology.

The detailed findings of the study are published in journal Nature.

See the article here:
Chinese researchers smash the record for realising two entangled quantum memories at maximum distance - http://www.computing.co.uk