Global Quantum Computing for Enterprise Market 2020-2025

The report covers complete analysis of the Global Quantum Computing for Enterprise Market on the basis of regional and global level. The report comprises several drivers and restraints of the Global Quantum Computing for Enterprise Market. Likewise, it covers the complete segmentation analysis such as type, application, and region. This report provides Quantum Computing for Enterprise Market key Manufactures, industry chain analysis, competitive insights, and macroeconomic analysis. Global Quantum Computing for Enterprise Market reportprovides the latest forecast market data, industry trends, and technological innovations. The in-depth view of Global Quantum Computing for Enterprise Market industry on the basis of market size, market growth, opportunities, and development plans offered by the report analysis. The forecast information, SWOT analysis, and feasibility study are the energetic aspects studied in this report. Along with that PESTEL analysis is also considered to be another major aspect in the market study.

Top Players Included In This Report:1QB Information TechnologiesAirbusAnyon SystemsCambridge Quantum ComputingD-Wave SystemsGoogleMicrosoftIBMIntelQC WareQuantumRigetti ComputingStrangeworksZapata Computing

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For the study of the Quantum Computing for Enterprise Market is very important the past statistics. So, the Global Quantum Computing for Enterprise Market gives the in-depth analysis of the past records along with the predicted future data. One of the most important aspects focused in this study is the regional analysis. Regional breakdown of markets helps in thorough analysis of the market in terms of future predictions, business opportunities and revenue generation potential of the market. For Quantum Computing for Enterprise Market report, the important regions highlighted are Middle East, South America, Asia, North America and Europe. Another important aspect of every market research report is the study of the key players or manufacturers driving the market forward. This study can benefit investors and business owners in many ways. In order to make business predictions and fetch good results, business models, strategies, growth, innovations and every information about manufacturers that can help are studied by it. Making right business decisions is an undeniable measure that needs to be taken for market growth. There are manufacturers, vendors and consumers in every that defines that market. These marketers become the subject to study for every stakeholder and market researcher.

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Types Covered In This Report:HardwareSoftware

Applications Covered In This Report:BFSITelecommunications and ITRetail and E-CommerceGovernment and DefenseHealthcareManufacturingEnergy and UtilitiesConstruction and EngineeringOthers

This report on Quantum Computing for Enterprise Market also has the market analyzed on the basis of end user applications and type. End user application analysis can also help understand consumer behavior. Its important to study product application to predict a products life cycle. Segment type is also an important aspect of any market research study. Reports are product based, they also includes information on sales channel, distributors, traders and dealers. This helps in efficient planning and execution of supply chain management as it drastically affects the overall operations of any business. Thus, a market research report can be called a comprehensive guide that helps in better marketing and management of businesses.

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Few Points From TOC:1 Scope of the Report2 Executive Summary3 Global Quantum Computing for Enterprise by Players4 Quantum Computing for Enterprise by RegionsContinued

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Global Quantum Computing for Enterprise Market 2025 Comprehensive Future Insights- 1QB Information Technologies, Airbus, Anyon Systems, Cambridge...

With help from Cristiano Lima, John Hendel and Leah Nylen

Editors Note: Morning Tech is a free version of POLITICO Pro Technologys morning newsletter, which is delivered to our subscribers each morning at 6 a.m. The POLITICO Pro platform combines the news you need with tools you can use to take action on the days biggest stories. Act on the news with POLITICO Pro.

Section 230 latest: The battle over the bipartisan EARN IT Act, which could threaten tech giants legal liability protections, will continue next week when the Senate Judiciary Committee holds a hearing on the bill probably with testimony from law enforcement officials and leaders from the tech sector.

(Another) TikTok bill: The day after Republican Sen. Josh Hawley announced plans to introduce a bill banning federal employees from using TikTok on their work devices, the House passed similar legislation from Democratic Rep. Abigail Spanberger.

Coronavirus, contd: The FCC is under pressure from Congress to use the same authority and resources it deploys for disaster response to address the threat of the coronavirus.

A message from Business Roundtable:

American consumers, their devices and data constantly travel across state lines. Without a national privacy law, consumers will have inconsistent privacy protections from state to state. Learn more at privacy.brt.org.

HELLO FRIDAY! AND WELCOME TO MORNING TECH. Im your host, Alexandra Levine. On todays coronavirus misinformation monitor: Titos lays down the law that no, pouring vodka on yourself will not protect you from COVID-19. (Per the CDC, the company wrote on Twitter, hand sanitizer needs to contain at least 60% alcohol. Tito's Handmade Vodka is 40% alcohol.)

Got a news tip? Write Alex at alevine@politico.com or @Ali_Lev. An event for our calendar? Send details to techcalendar@politicopro.com. Anything else? Full team info below. And dont forget: add @MorningTech and @PoliticoPro on Twitter.

WHATS NEXT FOR THE HOTLY CONTESTED EARN IT ACT The bipartisan rollout of the EARN IT Act on Thursday sparked widespread pushback from tech industry leaders, civil liberties groups and others, while garnering plaudits from child abuse prevention advocates and the battle over the bill is just getting started.

Next up: The Senate Judiciary Committee will hold a Wednesday hearing on the bill, which would require companies to prove they are doing enough to curb child abuse online to keep their Section 230 protections. This hearing is only the beginning, Sen. Richard Blumenthal (D-Conn.) said on Thursday. Were eager to listen to critics or anyone else who has suggestions for improvement. We take them seriously.

On deck: Chairman Lindsey Graham (R-S.C.) told Cristiano hes planning to bring in trade groups that represent the tech industry to testify at next weeks hearing but not Attorney General William Barr, who this week separately unveiled new voluntary guidelines on combating child exploitation. Blumenthal said he hopes to hear testimony from law enforcement officials and child abuse prevention advocates, in addition to leaders from the tech sector.

But will it pick up steam in the Senate? The bill already has the backing of 10 senators four Republicans and six Democrats, including the top two officials on Senate Judiciary but a number of key lawmakers said theyre still weighing its merits. "I'm open to talking to them about it," Senate Commerce Chairman Roger Wicker (R-Miss.) said Wednesday. Sen. Rob Portman (R-Ohio), who helped lead the last major push to amend Section 230, is reviewing the EARN IT Act to see if it builds upon the passage of SESTA, spokeswoman Emily Benavides said.

TIKTOKS TOUGH WEEK, CONTINUED The House passed legislation on Thursday that, in a move aimed at protecting Americans from Chinese surveillance, would ban some airport workers use of TikTok on their government-issued phones. After the TSA last month banned employees from using the Chinese-owned video app for work, Rep. Abigail Spanberger (D-Va.) included an amendment in a bipartisan bill she co-sponsored, the Rights for Transportation Security Officers Act, codifying that TSA policy.

TikTok, like other Chinese companies, is required under Chinese law to share information with the government and its institutions, Spanberger said Thursday. Because it could become a tool for surveilling U.S. citizens or federal personnel, TikTok has no business being on U.S. government-issued devices, she added. The legislation passed the day after Hawley, a tech critic and China hawk, announced plans for a similar measure to ban the use of TikTok by all federal employees on all federal government devices.

CANTWELL TO FCC: STEP UP ON CORONAVIRUS Senate Commerce ranking member Maria Cantwell (D-Wash.) is urging the FCC to respond to some of the challenges posed by COVID-19 just as it has in the past with disaster response and consider how the FCCs existing authority and programs, as well as temporary policies or rule waivers, may be used to secure the nations safety and continued well-being.

Examples she offers: Perhaps adopting temporary rules to let Red Cross shelters tap telemedicine subsidies; helping facilitate remote monitoring of patients, especially low-income ones; and finding ways to help spur at-home learning for students in areas where schools may be closing.

VAN HOLLEN TO PUSH FOR QUANTUM COMPUTING CASH Sen. Chris Van Hollen (D-Md.) expressed frustrations Thursday over what he sees as a dearth of proposed Commerce Department funding for the National Institute of Standards and Technologys quantum computing efforts. The good news I see in the NIST budget is youve increased the funding for AI, he told Commerce Secretary Wilbur Ross during an appropriations hearing. When it comes to quantum computing in the NIST budget, its flatlined. He also pressed Ross on Huawei, as John reported for Pros.

AIRWAVES BATTLE OVER 6 GHZ HEATS UP Lobbying continues apace over the FCCs forthcoming decision about what to do with the 6 GHz band (now occupied by utilities that fear disruption). This week saw new pushback to the wireless giants attempt to get the FCC to auction off a part of this prime mid-band spectrum for exclusive licensed use: California Democratic Reps. Anna Eshoo and Tony Crdenas along with Rep. G.K. Butterfield (D-N.C.) asked the FCC to reserve the whole swath of airwaves for unlicensed uses like Wi-Fi, as did hundreds of smaller wireless ISPs on Thursday in a letter to lawmakers.

Sen. Ted Cruz (R-Texas) may also wade in and side with the wireless industry, per a draft letter to the FCC circulating now. In this tentative draft, Cruz said making the whole band available for unlicensed use is in stark contrast with European countries that are divvying up the band for both licensed and unlicensed uses. A similar strategy could create a win-win scenario for both licensed and unlicensed users, the draft said.

And globally, speaking of 6 GHz: Grace Koh, who helped lead last years U.S. delegation to the World Radiocommunication Conference, recently said on a podcast that China had made a big push whenever she met with its officials bilaterally to see about using this 6 GHz band for 5G, largely due to interest involving Huawei. What did happen was that Huawei and Ericsson were not successful and China were not successful in getting the entire 6 GHz ban studied for 5G, she added.

DO CONSUMERS UNDERSTAND GOOGLE RESULTS? A federal appeals court grappled Thursday with whether average consumers know the difference between the ads and the organic search results that appear on Google. Arguing before the U.S. Court of Appeals for the 2nd Circuit, 1-800 Contacts which is seeking to reverse an FTC decision that its trademark agreements violated antitrust law contended that they dont understand.

Federal law allows a company to protect its trademark if use of the trademarked term could confuse consumers. The online contact lens retailer argued that consumers would be confused if they search for 1-800 Contacts on Google or Bing but instead see ads for other companies.

But two of the three judges on the panel werent so sure. Even an old guy who is old enough to remember Kodak and film knows the first four things you get on Google, which are labeled ad, you should disregard and move down to the next thing, said Circuit Judge Peter W. Hall, a George W. Bush appointee. Circuit Judge Gerard Lynch was also skeptical. Is that the standard, everyone has to know that? Twenty years from now when our kids are up there and doing this stuff, were not even going to be having this conversation, he said.

FTC attorney Imad Dean Abyad told the appeals court that 1-800 Contacts agreements with rivals were the same as an offline agreement to divide up market. 1-800 is claiming that digital [ad] space as its own exclusive territory and has agreed with its rivals that they would not advertise in that territory, he said. Abyad also said that 1-800 Contacts agreements were overly broad because they barred rivals from using the companys name in any kind of ad, even a comparative one. Courts have consistently found that comparative ads arent trademark violations. This is not about protecting trademarks, he said. This is about 1-800 protecting its much higher price.

A message from Business Roundtable:

American consumers, their devices and data constantly travel across state lines. Without a national privacy law, consumers will have inconsistent privacy protections from state to state.

Consumers deserve consistent privacy protections nationwide, no matter where they are or what theyre doing from banking or shopping online to reading the news or communicating with friends. The security of their personal data shouldnt depend on where they live, work or travel.

Thats why Business Roundtable CEOs, who operate in every sector of the U.S. economy and whose companies touch virtually every American consumer, are calling on Congress to pass a comprehensive, nationwide data privacy law.

Learn more at privacy.brt.org.

Barr named Will Levi as his new chief of staff, POLITICO reports. Frances Marshall, former senior counsel for intellectual property at the Justice Department's antitrust division, has joined Apple as senior standards counsel.

ICYMI: In a rare move to take down content posted by President Donald Trump, Facebook said it would remove ads that invoke the Census when directing people to the website of his reelection campaign, POLITICO reports.

Like Shazam, but for faces: Want to know the name of that stranger you ran into at a party? Or that person you see from across the restaurant? Theres an app for that, NYT reports thats precisely how some have used the controversial facial recognition app Clearview AI.

Coercion up close: A factory making computer screens, cameras and other gadgets for a supplier to tech companies including Apple and Lenovo relies on forced labor by Muslim ethnic Uighurs, the AP reports.

Broke: Anthony Levandowski, the self-driving engineer accused by Google of breaching his employment contract and misusing confidential information, filed for bankruptcy, citing a $179 million legal judgment, WSJ reports.

Kremlin watch: How Russia Is Trying To Boost Bernie Sanders' Campaign, via NPR.

Andrew Yangs next move: A political nonprofit called Humanity Forward, POLITICO reports. The core issues: a universal basic income for all Americans provided by the government, a human-centered economy and data as a property right, Yang said.

First Amazon, now Facebook: Facebook confirmed Thursday that a contractor at its Seattle office had been diagnosed with the coronavirus, Reuters reports.

Droppin like flies: LinkedIn joined the host of other tech companies including Facebook, Twitter, Apple and Netflix that have backed out of SXSW over coronavirus concerns, AdWeek reports. (Also scrubbed: The Red Hat Summit.)

Stars, theyre just like us: Twitter CEO Jack Dorsey may cancel his up to half-a-year sojourn in Africa over coronavirus concerns, Reuters reports. (But then again, as MT reported, theres a push right now to oust him from the helm of the company.)

Also on Twitter: The platform said it's expanding its rules against hateful conduct to include language that dehumanizes on the basis of age, disability or disease," CNET reports.

Not the Winklevoss twins: A start-up founded by two MIT researchers is suing Facebook, Reuters reports, alleging the social media giant has stolen and made public technology that could revolutionize the field of artificial intelligence.

Tips, comments, suggestions? Send them along via email to our team: Bob King (bking@politico.com, @bkingdc), Mike Farrell (mfarrell@politico.com, @mikebfarrell), Nancy Scola (nscola@politico.com, @nancyscola), Steven Overly (soverly@politico.com, @stevenoverly), John Hendel (jhendel@politico.com, @JohnHendel), Cristiano Lima (clima@politico.com, @viaCristiano), Alexandra S. Levine (alevine@politico.com, @Ali_Lev), and Leah Nylen (lnylen@politico.com, @leah_nylen).

TTYL.

Originally posted here:
EARN IT Act ignites Section 230 tug-o-war - Politico

Science is at the heart of all Alex Garlands work, but the writer-director is less interested in erudite theories than he is in what those theories reveal about humanity itself. After Garlands directorial debut, Ex Machina, came out in 2014, he started circling the idea of quantum mechanics, reading about the subject in science journals and watching online lectures by physicists like David Deutsch and David Wallace. That growing obsession has resulted, years later, in Devs, a self-contained, eight-episode series for FX on Hulu, which Garland pursued after making Annihilation in 2018.

What tends to happen with me is that I get interested in a particular subject and then at some point a story just overlays itself over that subject, says Garland, sitting on the set of Devs last year in London. The point of being interested in a subject often goes on for years, and the story arrives later. Quite often when the story arrives, it comes fully formed its like a whole narrative just drops down onto it. Thats exactly what happened with this one.

This idea stemmed from whether we live in a deterministic universe or a nondeterministic universe a deterministic universe meaning a universe where everything is a result of a prior cause. And the philosophical implication for that is that it removes free will. If thats true, thats quite a big deal. It makes you re-think behavior, which means you re-think relationships and actions, things that one has done right or wrong.

Garland wrote and directed all eight episodes, which follow a coder named Lily Chan (Sonoya Mizuno, who also appeared in Ex Machina) who works for a Silicon Valley tech company called Amaya. A series of events leads Lily deeper and deeper into the secretive lab housed on the Amaya campus, known as Devs short for development. To say too much about the plot would ruin the unfolding narrative, but its enough to know that Devs houses a powerful quantum computer that has the potential to change our understanding of the universe. Nick Offerman plays Amayas chief executive, a man with dubious intentions, and Alison Pill embodies his severe right-hand woman, Katie.

Although the show is set in the present day, the technology depicted therein reflects some supposition, pushing past whats currently possible.

Karl Glusman, left, and Nick Offerman on the secluded Silicon Valley campus at the center of Devs.

(Miya Mizuno/FX)

Its got something in common with Ex Machina in that its sort of 10 years into the future, Garland notes. It allows for a big breakthrough, specifically in terms of computing, which is a thing that is currently being worked on It could really happen in the same way Ex Machina could really happen. Which is to say it probably couldnt happen, but something like it could happen. So maybe not that exact thing, but something very substantially important could easily flow from quantum computers.

The director, along with Mizuno, visited Googles quantum computer lab in Goleta, Calif., ahead of shooting and did extensive research while writing. He found the YouTube series PBS Space Time With Dr. Matt ODowd helpful in breaking down the subject. Garland spoke with people in Silicon Valley, including coders in the quantum labs. Which means that the series is in some ways accurate to contemporary American tech companies. But in terms of quantum computers, of which there are an undetermined number in existence, Devs hovers in a fictional space.

The people who are doing what quantum computers are doing are not remotely interested in trying to do the things talked about in Devs, nor would they be able to, Garland says. This is a speculation, a bit like the way Ex Machina speculates on a level of artificial intelligence that were not even close to achieving. Its more that there are underlying principles [in effect].

Garland was also interested in the state of private tech companies, modeling Offermans character, Forest, after an aging NoCal hippie, beard and all. The director is skeptical of anyone who is put on a pedestal like Steve Jobs or Mark Zuckerberg, because tapping into the tech bubble doesnt necessarily make you a scientific genius. It might just mean you were in the right place with the right thing at the right time.

Devs creator Alex Garland

Theres a line in the show where Forest is described as a genius and then someone says, Hes not a genius, hes an entrepreneur, Garland says. I was interested in the idea that we ascribe genius-like qualities to the people who run tech companies. I was thinking, Im not sure thats true. Im inherently skeptical of anything that gets deified, but also because it seemed reasonably apparent to me that some of these people are not geniuses. They are entrepreneurs. I was riffing off that. I got quite hung up on an idea that Silicon Valley was much more capitalist than we tend to see it as.

For Offerman, who jumped at the chance to work with Garland, Forest represents the nebulous sort of character who is vastly more interesting than one who is simply a villain.

As the eight episodes unfold, your idea of Who are the protagonists and who are the antagonists? becomes really murky, Offerman says. Which is really interesting, because I think thats true of real life. Especially in this crazy political climate we want everything to be really polarized. Is it right or is it wrong? Are you an [expletive] or are you a Democrat? You eventually come to learn why [Forest] does what he does and its pretty understandable. While you may or may not agree with his methods, you can have some empathy.

Mizuno felt similarly about her character. Lily is surprising, she says. Shes an outsider. She doesnt do everything everyone else does. She doesnt participate in groupthink the way most people do.

Devs actor Alison Pill once aspired to study quantum computing.

(Miya Mizuno/FX)

Pill, who wanted to study quantum mechanics after high school thanks to reading Gary Zukavs The Dancing Wu Li Masters, found Devs compelling because it allowed for deeper thoughts than the average TV series. She read extensively ahead of production, including A Briefer History of Time and David Foster Wallaces Everything and More: A Compact History of Infinity, and has continued to consider the philosophical ramifications of quantum computing ever since.

Having been unpracticed in thinking about these things, it was such a gift to be given a project that asks these questions, she says. Because I think people like thinking about this stuff. We forget sometimes we have so much magic around us regularly The challenge Alex poses to his viewers is one thats not Youre going to be overwhelmed by the science. Its Youre going to be overwhelmed by existence.

Alex has a predilection for examining our amazing ability to create technology and further explore the vast reaches of physics, Offerman adds. And then, naturally, the trouble that gets us into. The great dichotomy of bipedal primates being handed a smartphone: On one hand, you can do amazing things with it. And on the other hand, you can send pictures of your genitals to your intern and get in a lot of trouble.

Ultimately, Devs asks a lot of questions, but it does so in the context of a story about a group of individuals who are personally affected by the science and technology. Garland keeps it personal, because he feels that these sorts of lofty issues are inherently personal, affecting each of us as technology advances and private tech companies grow. For him, science is an entry point for a discussion of what it means to be alive. The series cant offer any real answers, but it can allow viewers to consider what those might be.

[Science is] seen as something which is dry and boring and hard to understand and thinks it has all the answers and all of those things are the opposite of what is actually the case, he says. Most scientists will talk more about what they dont know than about what they do know. Science contains not just philosophy but also poetry.

Read the original here:
'Devs': How the FX on Hulu show's tech compares with reality - Los Angeles Times

Aravind Ajad Yarra and Saji Thoppil, fellows at Wipro Limited, answer frequently asked questions about quantum computing

What should be kept in mind when implementing quantum technology?

Todays leaders are inundated with the disruptive power of quantum computing and its potential applications in AI, machine learning and data science. Gartner data reveals that by 2023, 95% of organisations researching it will utilise quantum-computing-as-a-service (QCaaS) to minimize risk and contain costs. Also, 20% of organisations will be seen budgeting for quantum computing projects, compared to less than 1% today.

We, Aravind Ajad Yarra, fellow, Wipro Limited and Saji Thoppil, fellow and chief technologist cloud and infrastructure Services, Wipro Limited, bring you the basics of quantum computing and demystify some of its unknown facets in todays evolving scenario.

Lets look at the commonly asked questions:

A: Most of us would have read quantum mechanics at high-school level physics and probably been baffled by its strange characteristics. Quantum mechanics is the physics that applies at atomic and subatomic levels. Thought of using the physics of quantum mechanics to computing is what has led to quantum computing.

Our present-day computing is largely based on Boolean logic, represented using binary bits, which assume the value of either 0 or 1. Quantum computing, on the other hand, uses quantum bits (qubits), which behave differently from classic bits and use quantum superposition state where each qubit can assume both 0 and 1 at the same time.

To get better clarity, I suggest reading this short article on quantum computing.

A: Quantum computing is one of the most exciting developments in recent computing history. For years, Moores law has been helping us to keep the innovation cycle in computing going and push the boundaries of what computing can offer to business, so much so that software is what is driving digital businesses. With Moores law reaching its saturation point, everyone is eagerly looking for whats next in computing. This is seen as something that can keep the computing innovation cycle going, hence this buzz.

If you hear the general hype, you might believe quantum computing might replace classic computing soon. However, that is far from reality. The superposition property that we mentioned earlier gives quantum computing some unique capability that traditional computing doesnt have. Simply put, qubit superposition allows quantum computing to solve certain classes of problems promptly, which might otherwise take years for classical computers.

IBM has established a roadmap for reaching quantum advantage and concluded that: for significant improvement over classical systems, the power of quantum computers must double every year. Read here

A: Quantum computers are not bigger or faster versions of existing computers. Quantum computing is fundamentally different from existing computing. The problems for which quantum computers are most useful are problems that classical computers are not good at.

Some of the classes of problems that quantum computers currently look at are optimisation problems, for example, addressing the classic travelling salesman problem. As the number of cities that have this problem increases, classic computers find it exponentially hard to find an optimum solution. Quantum computers proved very useful for these classes of problems. Solving such problems make quantum computers super useful in areas like gene analysis, drug discovery, chemical synthesis, weather simulations, newer types of encryption, unstructured search, and better deep neural networks, to name a few.

What is AI? Information Age has created a simple guide to AI, machine learning, neural networks, deep learning and random forests. Read here

A: There are two major approaches to quantum computing that are currently in use: circuit-based computers (aka universal quantum computers), and adiabatic computers.

Universal quantum computers are based on logical gates and work similar to the underlying logic foundations of classical computers. Hence, universal quantum computers are extremely useful for computing problems improving on our current knowledge base of solutions. However, qubits required for universal quantum computers are extremely difficult to realise physically because qubit instability makes it hard to produce universal quantum computers.

Adiabatic computers are analog, but are easier to produce. These are more relaxed with respect to qubit state stability. Hence, it is easier to produce 1000s of qubits on adiabatic computers. However, adiabatic computers can be used for limited use cases such as optimisation problems.

A: While most platform companies that are working to build quantum computers are taking bets on one or the other, enterprises can probably explore both of the models. While adiabatic computing is limited, there are production-ready adiabatic computers using real quantum bits (such as those from DWave), as well as digital annealers, which use digital qubits (from Atos and Fujitsu).

Its emerging technologies month on Information Age, that means augmented and virtual reality, quantum computing and blockchain. Read here

Circuit-based quantum computers are much more general purpose. While these have more utility for enterprises, no production-grade problems can be currently solved with the current state of these machines. I would suggest exploring both classes of computers, based on the case that one is trying to solve.

A: The best way to start with identification of use cases for quantum computing is to explore areas where classic computers are currently not good at. Optimisation problems are the best starting point for most enterprises. Based on the industry, different kinds of optimisation use cases can be considered for exploring quantum computers. These could be risk modelling, inventory or asset optimisation, among others.

Cryptography is another area where robust use cases can be identified by enterprises. Quantum computers, when production-ready, can potentially break current methods of encryption, leading to exposure of sensitive data. Identifying data that is very sensitive and has longer term value, and considering safe encryption methods using quantum key generation and distribution are other ways in which it can be used.

Machine learning is also a very promising use case. Quantum machine learning, as it is called, can use special purpose quantum circuits that can significantly boost the efficiency of machine learning algorithms.

A: Industries that are process-centric, such as pharmaceuticals and oil & gas exploration, are the early adopters. These industries can benefit from quantum computing in complex optimisation problems they need solve from time to time.

Apart from these asset-heavy industries, the manufacturing industry is also actively exploring quantum computing. Banks and other financial services companies, which have risk modelling needs, also rely a lot on quantum computing.

A: It is probably too early to talk about real-world scenarios where quantum computers have made an impact. While there are demonstrations by research labs to use quantum communication methods to send instant data transfer from satellite and breaking various encryption methods, these still look good in labs.

The reason for this is the current state of reliability in quantum computers. Qubits are highly sensitive, and they are prone to errors. Error correction methods that we currently use reduce the effective working qubits, but early results have been seen with digital annealers, which simulate adiabatic quantum computing using traditional digital computers.

Wipros Topcoder, for example, is currently working with Fujitsu to run crowdsourced challenging using Fujitsus digital annealer to solve real-world problems. Additionally, Airbus has been running open innovation challenges to solve some of its problems using quantum computing.

Quantum technologies also has appeal in the areas of communication, cryptography, sensors and measurements. Unlike quantum computing, where practical use cases are still in exploratory stages, these areas have industry-ready products that enterprises can put to use.

Quantum communication takes advantage of the nature of photons in flight and is able to detect if a photon has reached the recipient uninterrupted; this can ensure secure communications.

While quantum key generation (QKG) is used to generate truly random keys, quantum key distribution (QKD) is used for securely distributing keys. Both of these are essential for using a one-time pad cryptography technique, which is considered the holy grail in encryption.

Generating true random numbers for the quantum computing era, or indeed the pre-quantum era, is the aim. Crypta Labs reckon they have cracked it. Read here

Additionally, quantum sensors have niche applications where there is a need for highly accurate measurements of gravity, electric fields, time, position and magnetic field. In a fiercely competitive world, we can expect more enterprises wanting to leverage these to create unique offerings.

Given the nature of its evolution, it is hard to make an upfront business case for quantum computing. However, given the potential, I suggest that the business case be made in two parts.

The first part is to focus on near-term (1-2 years) use cases such as optimisation and encryption by using digital annealers for optimisation and photon-based ASICS for key generation. Digital annealers, or even simulators running on cloud, can solve several practical optimisation problems.

On the other hand, centres of excellence can be set up, leading to building expertise and solving relevant problems. Returns from these investments would set the stage for the second part, focusing on mid & longer term (2+ years) use cases, such as exploring machine learning and unstructured data search as part of centres of innovation and open innovation communities with small investments, but with longer period on returns.

Written by Aravind Ajad Yarra, fellow at Wipro Limited, and Saji Thoppil, fellow and chief technologist cloud and infrastructure Services at Wipro Limited

Excerpt from:
Cracking the uncertainty around quantum computing - Information Age

A previous version of this video incorrectly stated how many people the 1918 Spanish influenza killed. USA TODAY

Quantum computing isnt yet far enough along that it could have helped curbthe spread of this coronavirus outbreak. But this emerging field of computing will almost certainly help scientists and researchers confront future crises.

Can we compress the rate at which we discover, for example, a treatment or an approach to this? asks Dario Gil, the director of IBM Research. The goal is to do everything that we are doing today in terms of discovery of materials, chemistry, things like that, (in) factors of 10 times better, 100 times better,

And that, he says, could be game-changing.

Quantum computing is thenext big thing in computing, and it promises exponential advances in artificial intelligence and machine learning through the next decade and beyond, leading to potential breakthroughs in healthcare and pharmaceuticals, fertilizers, battery power, and financial services.

For a consumer with a retirement fund, quantum computers over the next 10 to 15 years may help you make better personal financial decisions through the calculations that your broker is doing, says Bob Sutor, an IBM Research vice presidenttasked with driving the quantum computing ecosystem.

IBM, with 15 deployed quantum systems, is at the forefront of quantum computing. USA TODAYrecently got to tour a quantum lab in Yorktown Heights, New York.

But Google, Amazon, Intel, Microsoft and Honeywell are among other tech stalwarts working in the field, as are several venture-backed global startups.

IBM quantum computers system in the company's Yorktown Heights, N.Y., research lab.(Photo: Robert Deutsch)

The U.S. government, which is in a quantum race against China, has also lent support. In late 2018, President Trump signed the National Quantum Initiative Act into law to fund quantum research to the tune of $1.2 billion over a five-year period.

Here is a guide to help demystify quantum computing, which you will almost certainly hear a lot more about in the years ahead.

It isnt easy to get a grip around quantum computing or the field of physics it harnesses, quantum mechanics. But such machines they cost millions are designed to model nature.

In the simplest terms, they are exponentially more powerful than what we consider classical computers, whose basic fundamental units are expressed in1s or 0s or bits. Quantum computing takes a quantum leap with whatare known as quantum bits or "qubits for short.

Think about it this way: If you flip a coin, it will land as either heads or tails, or in those classical computer terms, 1s and 0s. But whats the state of that coin when it is still spinning? Thats kind of where qubits are, not necessarily as a 1 or a 0, but as all the possibilities in between.

Now lets take the analogy further. If you flip two coins in the physical world, the heads or tails of one coin has no bearing on the other. Qubits, though, can be entangled in multiple states at the same time.

This is one of those the 'Earth is not flat kind of moments, Gil says. There is actually a revolution going on.

A quantum computer chip is kept at a temperature thats colder than outer space in a cylinder that's part of an elaboraterefrigerated apparatus. The system has more than 2,000 components, including pulse tube coolers, superconducting coaxial lines, a mixing chamber and various circuits. It resembles a fancy chandelier.

The "chandelier" inside an IBM quantum computer.(Photo: Robert Deutsch)

In May 2016, IBM became the first company to put a quantum computer on the cloud, where anyone with the computing know-how could run experiments.

Currently, more than 150 billion programs and executions have been run on IBMs quantum machines, by more than 200,000 registered users in over 140 countries. There are over 12,000 monthly active users, and, on a typical day, the machines on the cloud run over 400 million quantum circuits.

IBM says it has signed contracts around quantum with more than 100 universities, national laboratories and companies.

For example, quantum researchers at IBM are teaming up with counterparts at Mercedes-Benz parent Daimler to develop next-generation batteries for electric vehicles. IBM is also partnering with Delta Air Lines to explore quantum opportunities in the travel business.

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This past October, Google said it achieved what's been described as quantum supremacy. It was able to perform a calculation in 200 seconds that supposedly would take a classic state-of-the-art supercomputer about 10,000 years to handle.

IBM pushed back. The company argued at the time that an ideal simulation of the same task can be performed on a classical system in 2 days and with far greater fidelity, which at that it said was a conservative, worst-case estimate.

Gil told USA TODAY thatpeople are not making a distinction of whats a lab experiment, versus what is a real system.

The claims around quantum computing keep coming.

Just this week, Honeywell announced what it said is the most powerful quantum computer yet, set for a mid-2020 release. Honeywell has formed a strategic partnership with JPMorgan Chase around financial solutions that exploit quantum. JPMorgan is also part of the IBM quantum ecosystem.

But these are still early days.Gilsays quantum computing today is in roughly the same spot where artificial intelligence was in 2010.

His IBM colleague Sutor says,Just to be clear, nobody on the planet has a quantum computer that can today do better that our classical computers.

ButIBM says it can double the power of a quantum computer every year, and at some point cross a threshold at which the quantum machines might leap past classical computers, at least to address certain types of problems.

There could be. Large future fault-tolerant quantum computers and such computers are not yet around the corner have the potential to crack current encryption systems. IBM is working with the National Institute of Standards and Technology (NIST) on changing encryption standards that promise to keepquantum systems efficient while at the same time keeping them secure.

Though security threats might be years away, Gil stresses the urgency to prepare now.You cannot just sit and ignore the problem, Gilsays.

Even years from now, you shouldn'texpectto have a quantum computer sitting on your desk.

But the technology made possible by quantum computers will start to insert itself into supporting and making consumer apps more powerful. And society would benefit if quantum computers can stop a potential pandemic before it ever really gets started.

Nature itself is one great big computer," Sutor says,in the way atoms and molecules and light interact.Can we learn enough about how it really does it and harness it for our own computing needs with the toughest sort of problems we have?

Email:ebaig@usatoday.com.Follow @edbaig on Twitter

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Cambridge Quantum Computing (CQC) is looking to explore and advance the application of quantum technologies to particle physics as part of the QUATERNION project in the CERN openlab.

Quantum computers and their potential is being researched by CERN through the openlab. The team is collaborating with major hardware vendors and users of quantum computing, launching a number of projects in this realm.

According to CERN, the enhanced computational capabilities of quantum computers could help to improve the analysis and classification of their vast data sets, thus helping to push back the boundaries of particle physics.

More recently, the CERN openlab team have stated they will leverage the power of t|ket, CQC's proprietary quantum development platform for the QUATERNION project.

CQC's t|ket converts machine-independent quantum circuits into executable circuits, reducing the number of required operations whilst optimising physical qubit arrangements.

The architecture-agnostic nature of t|ket will help the members of the CERN openlab project team to work across multiple platforms to achieve optimal results even on today's noisy quantum hardware, CERN states.

The QUATERNION project will also investigate the application of CQC's four qubit quantum technology device named Ironbridge to CERN's Monte Carlo methods for data analysis.

Such methods are not only a vital component of particle physics research, but are also applicable to many other areas, such as financial and climate modelling, CERN states.

Monte Carlo methods use high-quality entropy sources to simulate and analyse complex data. Using CQC's IronBridge platform, the world's first commercially available device-independent and quantum-certifiable cryptographic device, the teams will investigate for the first time the effects of certified entropy on Monte Carlo simulations.

CQC founder and CEO Ilyas Khan says, We are excited to collaborate with CERN, the European Laboratory for Particle Physics, on this innovative quantum computing based research project.

CQC is focussed on using the world's best science to develop technologies for the coming quantum age. Joining CERN openlab is a special development for any organisation and we look forward to developing advances together.

CERN openlab head Alberto Di Meglio says, Our unique public-private partnership works to accelerate the development of cutting-edge computing technologies for our research community.

Quantum computing research is one of the most exciting areas of study today; we are pleased to welcome CQC and their world-class scientists into collaboration with us.

CQC is a quantum computing software company that builds tools for the commercialisation of quantum technologies that will have a global impact.

CQC combines expertise in quantum software, specifically a quantum development platform (t|ket), enterprise applications in the areas of quantum chemistry (EUMEN), quantum machine learning (QML), and quantum augmented cybersecurity (IronBridge).

The company states it has a deep commitment to the cultivation of scientific research.

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The report involves insightful data on the main sectors of the Global Quantum Computing Market. The report has segmented market, by its types and applications. Each segment has analyzed completely on the basis of its production, consumption as well as revenue. Further, it is classified on the basis of geographical areas which include: North America, Europe, Asia Pacific, Latin America, Middle East and Africa.

The market research report on the Quantum Computing Market estimates its global standing in the forecast period from 2020 to 2026. The study undertakes primary and secondary research techniques to provide an analysis of the market in the different regions by examining the trends in the industry, along with the factors expected to fuel the market growth in the forecast years. The study assesses and interprets the market based on different segments and inspects factors affecting the total revenue of the global sector.

The report also evaluates the size, share, and growth rate of the businesses by conducting detailed scrutiny of the contribution of leading market players to the global industry. The report investigates companies based on their standing in the geographical regions as segmented in the report, to study their performance and the factors aiding their progress.

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The study also provides a detailed statistical analysis of the critical aspects of the market like the drivers, restraints, opportunities, and challenges, to give the reader vital information that can influence the market in the forecast years.

Some of the leading market Players:

Segmentation by Type:

Segmentation by application:

Key highlights of the global Quantum Computing market for the forecast years 2020-2026:

Table of Content:

Chapter One: Quantum Computing Market Overview

Chapter Two: Manufacturers Profiles

Chapter Three: Market Competition, by Players (2020-2026)

Chapter Four: Market Size by Regions

Chapter Five: North America Revenue by Countries

Chapter Six: Europe Revenue by Countries

Chapter Seven: Asia-Pacific Revenue by Countries

Chapter Eight: South America Revenue by Countries

Chapter Nine: Middle East and Africa Revenue by Countries

Chapter Ten: Quantum Computing Market Segmentation by Type

Chapter Eleven: Global Quantum Computing Market Segmentation by Application

Chapter Twelve: Global Quantum Computing Market Size Forecast (2020-2026)

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The global Quantum Computing market study presents an all in all compilation of the historical, current and future outlook of the market as well as the factors responsible for such a growth. With SWOT analysis, the business study highlights the strengths, weaknesses, opportunities and threats of each Quantum Computing market player in a comprehensive way. Further, the Quantum Computing market report emphasizes the adoption pattern of the Quantum Computing across various industries.

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Market Segmentation

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The Quantum Computing market report offers a plethora of insights which include:

The Quantum Computing market report answers important questions which include:

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Quantum Computing Market Reportfollows a multi- disciplinary approach to extract information about various industries. Our analysts perform thorough primary and secondary research to gather data associated with the market. With modern industrial and digitalization tools, we provide avant-garde business ideas to our clients. We address clients living in across parts of the world with our 24/7 service availability.

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MIT is no stranger to technology. It's one of the world's most productive and forward-facing tech research organizations. So when MIT gets excited looking forward, it only makes sense to sneak a peak at what they're seeing. MIT recently just published their top 10 technological breakthroughs for 2020 and just beyond. Below are the first five on their list. Each one is an advance that MIT sees as genuinely changing our lives.

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MIT says: Later this year, Dutch researchers will complete a quantum internet between Delft and the Hague.

Think of a coin. Lay it flat on a table, and it's either heads and tails. This is more or less how things work in the world at larger scales. To see what things are like at a much smaller, quantum size, spin the coin on the table and observe it from above. From our perspective, the coin's state could then be described as being both head and tails at the same time since it's neither one exactly. Being in this rapidly changing condition is like being in "superposition" in quantum physics.

To see, or measure, the coin's head/tails state at any given moment, you'd have to stop it spinning, perhaps flattening it down to the table, where it would be stopped as either head or tails. Thus measured, the coin would be taken it out of superposition. Just like entangled quantum particles.

In classical computing system, data objects are represented by bits, strings of data comprised of zeros and ones, AKA heads or tails. In the quantum world, however, what needs to be represented is that "spinning coin"of superposition in its as-yet-unresolved state. So quantum computing uses "qubits" instead of bits.

Obviously, being able to represent data with qubits objects that collapse out of superposition if they're intercepted or tampered with is an attractive prospect for an increasingly security-conscious world, a natural foundation on which to build a super-secure quantum internet.

Still, qubits are far more complex than bits, and thus harder to process and exchange. Even worse, as our spinning coin will eventually stop spinning and resolve as heads or tails (Inception aside), qubits lose their superimposition after a while, making retaining and exchanging them in a superimposed a serious challenge. While there are various combinations of classical and quantum internets and encryption keys under consideration and construction, they all share a need for the robust, accurate transmission of qubits over long distances.

Now scientists of the Quantum Internet Alliance initiative have announced that they're in the process of building the world's first purely quantum network. It incorporates new quantum repeaters that allow qubits to be passed along long distances without being corrupted or losing their superposition. The group published a paper last October laying out their vision for an Arpanet-type quantum prototype stretching between Delft and the Hague by the end of this decade. (Here's a great explainer.)

Stephanie Wehner of QuTech, a quantum computing and internet center at Delft University of Technology, is coordinator of the project:

"With this very extensive simulation platform we've recently built, which is now running on a supercomputer, we can explore different quantum network configurations and gain an understanding of properties which are very difficult to predict analytically. This way we hope to find a scalable design that can enable quantum communication across all of Europe."

Image source: National Cancer Institute/unsplash

MIT says: Novel drugs are being designed to treat unique genetic mutations.

Developing treatments for any condition can be difficult and expensive, and it behooves researchers to get the most bang for their buck by concentrating on formulating solutions for diseases that afflict large groups of people. Hand in hand with this is a need for generalized remedies that address characteristics the whole group shares.

This is changing, says MIT, with gene editing offering the potential for transforming medicine from the traditional "one size fits all" approach to a more effective, personalized, or "n-of-1," approach. This new form of medicine involves targeting and manipulation of an individual patient's genes, with the application of rapidly maturing technologies for gene replacement including gene editing, and antisensing that removes or corrects problem-causing genetic messages. "What the treatments have in common," says MIT, "is that they can be programmed, in digital fashion and with digital speed, to correct or compensate for inherited diseases, letter for DNA letter." Treatments may also individually be optimized to avoid contemporary medicine's often harsh side effects.

If gene editing lives up to its promise, medicine is about to become radically more successful and humane.

Image source: Artwell/Shutterstock

MIT says: The rise of digital currency has massive ramifications for financial privacy.

While Bitcoin is, as of this writing, collapsing, it's nonetheless clear that purely digital monetary systems have considerable appeal: No more germ-encrusted metal and paper money, and, perhaps more importantly, an opportunity for governments and their central banks to more closely control currency and to instantly execute monetary policy changes.

The truth is we've been halfway there for a long time, currencies such as Bitcoin and Libra notwithstanding. The money in our bank accounts is virtual we personally possess no plies of physical cash at our local bank. Electronic purchasing with credit and debit cards is the norm for most of us, and when large movements of cash occur between banks, they do so in the digital domain. It's all been mostly bytes and bits for some time. What we currently have is a mish-mash of physical and digital money, and MIT predicts the imminent arrival of purely digital monetary systems. (Buh-bye, folding money and pocket change.)

In 2014, China began quietly exploring and building their Digital Currency/Electronic Payments system, or DC/EP. According to OZY, they've already applied for 84 patents for various innovations their new system requires.

One of China's goals is to construct an on-ramp making it easy for citizens to switch to an all-digital system. "Virtually all of these patent applications," Marc Kaufman of Rimon Law, tells OZY, "relate to integrating a system of digital currency into the existing banking infrastructure." The country's developing systems that allow people to swap traditional money for digital currency, as well chip card and digital wallets from which the currency may be spent.

Clearly, an all-digital monetary system presents privacy issues, since all of one's money would presumably be visible to governmental agencies unless adequate privacy protections are implemented. Developing that protection is going to require a deeper exploration of privacy itself, a discussion that has been overdue since the dawn of the internet.

Image source: Halfpoint/Shutterstock

MIT says: Drugs that try to treat ailments by targeting a natural aging process in the body have shown promise.

Strides are being made toward the production of new drugs for conditions that commonly accompany getting older. They don't stop the aging process, but the hope is that in the next five years, scientists may be able to delay some of aging's effects.

Senolytics are a new form of drugs under development that are designed to clean out unwanted stuff that often accumulates in us as we age. These senescent cells can wind up as plaque on brain cells, and as deposits that cause inflammation inhibiting healthy cell maintenance, and leaving toxins in our bodies.

While trials by San Franciscobased Unity Biotechnology are now underway for a senolytic medication targeting osteoarthritis of the knee, MIT notes that other aging-related ailments are getting a promising fresh look as well. For example, one company, Alkahest, specializing in Parkinson's and dementia, is investigating the extraction of certain components of young people's blood for injection into Alzheimer's patients in the hopes of arresting cognitive and functional decline (Oh, hi, Keith Richards.). And researchers at Drexel University College of Medicine are investigating the use of an existing drug, rapamycin, as an anti-aging skin creme.

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MIT says: Scientists have used AI to discover promising drug-like compounds.

Drugs are built from compounds, combinations of molecules that together produce some sort of medically useful effect. Scientists often find that known compounds can have surprising medical value recent research found that 50 non-cancer drugs can fight cancer in addition to their previously known uses.

But what about new compounds? MIT notes there may be as many as 1060 molecule combinations yet to be discovered, "more than all the atoms in the solar system."

AI can help. It can sift through molecule properties recorded in existing databases to identify combinations that may have promise as drugs. Operating much more quickly and inexpensive than humans can, machine learning techniques may revolutionize the search for new medicines.

Researchers at Hong Kongbased Insilico Medicine and the University of Toronto announced last September that AI algorithms had picked out about 30,000 unexplored molecule combinations, eventually winnowing that list down to six especially promising new medical compounds. Synthesis and subsequent animal testing revealed one of them to be especially interesting as a drug. One out of six out of 30,000 may not seem that impressive, but AI and machine learning are quickly evolving.

MIT predicts that in 3-5 years, such investigations will be regularly bearing fruit.

The other five items on MIT's list are:

6. Satellite mega-constellations7. Quantum supremacy8. Tiny AI9. Differential privacy10. Climate change attribution

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MITs Top 5 tech breakthroughs for 2020 - Big Think

COMPUTING

Inside the Race to Build the Best Quantum Computer on EarthGideon Lichfield | MIT Technology ReviewRegardless of whether you agree with Googles position [on quantum supremacy] or IBMs, the next goal is clear, Oliver says: to build a quantum computer that can do something useful. The trouble is that its nearly impossible to predict what the first useful task will be, or how big a computer will be needed to perform it.

Were Not Prepared for the End of Moores LawDavid Rotman | MIT Technology ReviewQuantum computing, carbon nanotube transistors, even spintronics, are enticing possibilitiesbut none are obvious replacements for the promise that Gordon Moore first saw in a simple integrated circuit. We need the research investments now to find out, though. Because one prediction is pretty much certain to come true: were always going to want more computing power.

Flippy the Burger-Flipping Robot Is Changing the Face of Fast Food as We Know ItLuke Dormehl | Digital TrendsFlippy is the result of the Miso teams robotics expertise, coupled with that industry-specific knowledge. Its a burger-flipping robot arm thats equipped with both thermal and regular vision, which grills burgers to order while also advising human collaborators in the kitchen when they need to add cheese or prep buns for serving.

The Next Generation of Batteries Could Be Built by VirusesDaniel Oberhaus | Wired[MIT bioengineering professor Angela Belcher has] made viruses that can work with over 150 different materials and demonstrated that her technique can be used to manufacture other materials like solar cells. Belchers dream of zipping around in a virus-powered car still hasnt come true, but after years of work she and her colleagues at MIT are on the cusp of taking the technology out of the lab and into the real world.

Biggest Cosmic Explosion Ever Detected Left Huge Dent in SpaceHannah Devlin | The GuardianThe biggest cosmic explosion on record has been detectedan event so powerful that it punched a dent the size of 15 Milky Ways in the surrounding space. The eruption is thought to have originated at a supermassive black hole in the Ophiuchus galaxy cluster, which is about 390 million light years from Earth.

Star Treks Warp Speed Would Have Tragic ConsequencesCassidy Ward | SyFyThe various crews ofTreks slate of television shows and movies can get from here to there without much fanfare. Seeking out new worlds and new civilizations is no more difficult than gassing up the car and packing a cooler full of junk food. And they dont even need to do that! The replicators will crank out a bologna sandwich just like mom used to make. All thats left is to go, but what happens then?

Image Credit: sergio souza /Pexels

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