A lot of bold claims have been written about the recent emergence of quantum computing. It will revolutionize computing. It will break cryptography and the encryption that protects the worlds data. It will enable the true rise of artificial intelligence as a force in the world.

While each of these assertions hint at some truth about the rise of quantum computers, theres also a fair amount of hype going around. Quantum computing will change the world, but not all the predictions are factually accurate.

So lets start with the basics of quantum computing.

Quantum computing is different than traditional computing because it escapes the binary foundation of the computer. Instead of yes or no, the 0s and 1s that form the foundation of current computer logic, theres also maybe. These intermediate states occur because quantum computers take advantage of the quirky behavior of quantum phenomena.

This new model will alter the computing landscape and open the door for solving some problems faster than traditional computers. Prediction is far more efficient when there are intermediate states compared with the black and white logic of yes or no. But this development will not change everything. It just will change some things. And it probably wont be making a big splash just yet.

So lets look at three places where the hype is not in touch with reality when it comes to quantum computers today.

The most over-hyped aspect of quantum computing is the possible near-term algorithms because we do not know which if any will work on devices within the next three to five years, and which can be run efficiently on current digital computers, says Dr. Joel Wallman, assistant professor of applied mathematics at the Institute for Quantum Computing at the University of Waterloo.

This paucity of appropriate code, much of which must be developed from the ground up, is just one hurdle that quantum computers must overcome before they are ready for widespread commercial use.

Googles recent 53-qubit demonstration [of quantum computing] is akin to the Wright brothers first flights at Kitty Hawk, says William Oliver, an MIT associate professor who teaches the universitys xPRO course on quantum computing. Their plane, the Wright Flyer, was not the first to fly. It didnt solve any pressing transportation problem. Nor did it herald widespread adoption commercial aviation would only gradually emerge over the next few decades.

What the Wright Flyer did and what the quantum computers are doing now are simply proofs of concept.

Oliver notes that the transistor was invented in 1947, but it was 25 years before the world had the Intel 4004 4-bit processor. It was another 25 years before the world got to the Pentium Pro with 1M transistors, and then another 20 years before the multi-core processors and GPUs with billions of transistors.

Quantum computers are nascent, he says. To realize their promise, we will need to build robust, reproducible machines and develop the algorithms to use them. Engineering and technology development take time.

Theres a real chance that quantum computers will challenge current cryptography someday, rendering todays encryption obsolete. This is a known problem that cybersecurity professionals face, just as the Y2K Millennium Bug was a real problem that required a fix back in 1999.

Right now quantum computing technology is nowhere near ready for this code-breaking, however. The world has time for developing the next generation of security technology before current encryption methods stop working.

The reality is that to break todays encryption requires a large-scale and fault tolerant quantum computer, and we arent there yet, says Tim Zanni, US technology sector leader for KPMG. Therefore, were unlikely to see a quantum computing-driven security breach in the near future.

It is important to understand that quantum computers will not replace classical computers, says Dr. Bob Sutor, vice president for IBMs quantum computing Q ecosystem development at IBM Research. Quantum computers fundamental properties complement the traditional systems.

Thats because the strength of quantum computers, having intermediate states somewhere between yes and no, can help the enterprise solve some forms of intractable classical problems that blow up or become extremely time-consuming with traditional computers, but they are not efficient for many of todays other computing processes. The 0s and 1s of todays computers are just fine for many computing applications, and theres no need to completely replace traditional computers with quantum computers even if that were feasible.

Quantum computers therefore most likely will be a subset of the full computing landscape, just like there are processors built for graphics or AI but also other types of processors in use.

This means that a generation of computer science students also will need to learn how to use and code quantum computers for the coming emergence of the technology.

From computer science courses to chemistry and business classes, students should be getting quantum ready, says Sutor.

Quantum computing is real, and it will have an impact on the world. But were not there yet, and everything isnt going to change once quantum computers do reach the point of commercial viability. The emergence of quantum computers is more like the slow emergence of commercial aviation.

The rise of flight did not mark the beginning of the end for other modes of transportation 90 percent of commercial shipping is still done today by ships, notes Oliver at MIT. Rather, the events at Kitty Hawk are remembered for having demonstrated a new operational regime, the first self-propelled flight of a heavier-than-air aircraft.

Its what the flight represented, in other words, not what it practically accomplished. And so it is with this first demonstration of quantum computing.

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Where the Buzz About Quantum Computing Is Wrong - Toolbox

The Trump administrations 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, artificial intelligence, or AI, funding would nearly double, and quantum computing would receive a 50% boost over last years 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 dont 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 applications.

Aaronson says the governments 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 computings capabilities.

Thats often misrepresented in the popular press, where its 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 were now entering the very, very early, vacuum-tube era of quantum computers, he says.

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

(Brian Kostiuk, Unsplash)

This article is brought to you thanks to the collaboration ofThe European Stingwith theWorld Economic Forum.

Author: David L. Chandler, Writer, MIT News & MIT News

A new study suggests a path to more efficient error correction, which may help make quantum computers and sensors more practical.

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. Whats 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 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 - The European Sting

Just five years ago, the Public Key Infrastructure, or PKI, was seriously fraying at the edges and appeared to be tilting toward obsolescence. Things have since taken a turn for the better.

Related: Why PKI is well-suited to secure the Internet of Things

PKI is the authentication and encryption framework on which the Internet is built. The buckling of PKI a few years back was a very serious matter, especially since there was nothing waiting in the wings to replace PKI. Lacking a reliable way to authenticate identities during the data transfer process, and also keep data encrypted as it moves between endpoints, the Internet would surely atrophy and digital transformation would grind to a halt.

The retooling of PKI may not be sexy to anyone, outside of tech geeks. Nonetheless, it is a pivotal chapter in the evolution of digital commerce. One of several notable contributors was DigiCert, the worlds leading provider of digital certificates and certificate management solutions.

I had a chance to interview Brian Trzupek, DigiCerts senior vice president of emerging markets products, at the companys Security Summit 2020 in San Diego recently. For a full drill down on our discussion, please give the accompanying podcast a listen. Here are a few key takeaways:

PKIs expanding role

PKI revolves around the creation, distribution and management of digital certificates issued by companies known as certificate authorities, or CAs. In the classic case of a human user clicking to a website, CAs, like DigiCert, verify the authenticity of the website and encrypt the data at both ends.

Today, a much larger and rapidly expanding role for PKI and digital certificates is to authenticate devices and encrypt all sensitive data transfers inside highly dynamic company networks. Were not just talking about website clicks; PKI comes into play with respect to each of the millions of computing instances and devices continually connecting to each other the stuff of DevOps and IoT. It can be as granular as a microservice in a software container connecting to a mobile app, for instance. Each one of these digital hookups requires PKI and a digital certificate to ensure authentication.

Much like the Internet, PKI evolved somewhat haphazardly in the first two decades of this century to enable website activity and it has come a long, long way since. PKIs core components derive from open source, corporate and entrepreneurial beginnings. By 2015 or so, the early pioneer PKI services companies had made their profits and had gotten themselves swallowed up by tech conglomerates in a wave of consolidation.

In late 2017, DigiCert announced it would acquire Symantecs PKI division for $1 billion. At the time, Symantec very much wanted out of having anything to do with PKI; Google had just announced plans to distrust all Symantec-issued certificates, after a long tussle with the security vendor for failing to meet industry standards. DigiCert took the best of what Symantec had and combined it with tech that DigiCert did well, and worked feverishly to modernize PKI.

Trzupek

Symantec just didnt spend a whole lot of time actually integrating those businesses, Trzupek told me. They had acquired all of these PKI systems, order-entry systems, e-commerce systems, validation systems. . . it was like a million tiny freestanding companies and we had to try to figure out how to consolidate all of that.

Platform challenges

A lot has transpired over the past two years. The CA/Browser Forum, an industry standards body founded in 2005, accelerated initiatives to drive better practices and guidelines. Outside of the CAB Forum, many industries, from healthcare to automotive to manufacturing, have created standards and implemented digital certificate protections through global PKI practices that strengthen device security

Taken together these efforts have brought a semblance of order to the topsy-turvy world of enterprise PKIs. Companies had come to rely on a hodge podge of systems to authenticate remote workers and contractors, while at the same time delving deeper into DevOps, and also pressing forward with wider use of IoT systems.

What we saw across all of that was a platform problem, Trzupek says. People were trying to use PKI and certificates in many different kinds of ways and all of this was being jammed through very old legacy tools.

For its part, DigiCert responded by sending Trzupek on the road to visit 70 PKI customers in 12 nations and listen closely to what was on their minds. DigiCert used that feedback as the basis to design leading-edge PKI deployment and management tools and services, built on a flexible, scalable platform for speed and efficiency.

The first step is to take a very manual inventory of what the parent company is doing with PKI, and what all of the sub-entities and subdivisions are doing with PKI, just figuring out who manages those projects and what PKI is being used for, Trzupek says. Then theres an organizational component where you can consolidate management of PKIs and do things like standardizing tools.

Future use cases

Innovations to help companies more efficiently manage sprawling PKI deployments continue to advance, and none too soon. Large and mid-sized enterprises are stepping up their use of DevOps and embracing philosophies like fail fast, the notion of quickly deploying minimumally viable software to learn where it works or fails, and then iterating and remediating the shortcomings.

This is how dynamic services are getting spun up; such services are capable of scaling up to serve high volume demand, cheaply and very quickly, and then wind down just as quickly. DigiCert is focusing on putting PKI at the nerve center of these types of scenarios, where short-lived certificates, with low latency and high availability, come into play.

A lot of places need dynamic scale related to consumption, and they need that environment to be trusted, and thats where PKI comes in, Trzupek says. As we look to the future, its all about getting more dynamic so we can interoperate with that world and produce certificates as they need them.

Its encouraging that PKI is once again on solid footing, were certainly going to need it, going forward. Data is the new oil, futurist and theoretical physicist, Dr. Michio Kaku, told attendees of DigiCert Security Summit 2020. Following the mainstreaming of steam power, then electricity and then the Internet, were today on the brink of the fourth wave giant technical leaps forward, observes Kaku, author of The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind.

Kaku argues that silicon chip-based computing has maxed out and will very soon be replaced by quantum computers which manipulate atoms to make massive calculations. Quantum computers can rather easily break the strongest encryption we have today. The good news is that the tech community has factored this into long term planning for the care and feeding and future viabilityof PKI.

A major public-private effort is underway to revamp classical cryptography, and ultimately replace it with something called post-quantum-cryptography, or PQC. DigiCert happens to be in the thick of this effort and has already begun offering strategies for companies to future proof sensitive systems for the coming of quantum computing.

Devices being put into service today, like cars and airplanes and IoT systems that have embedded sensors have long term life cycles, says Avesta Hojjati, DigiCerts head of research and development. Were striving to protect those devices, right now, against threats that are coming in the next five to 10 years.

In an environment where fail fast is the philosophy ushering us into the quantum computing era, there is a huge role for robust, reliable and continually improving PKI. We appear to be on that path. Ill keep watch.

Acohido

Pulitzer Prize-winning business journalist Byron V. Acohido is dedicated to fostering public awareness about how to make the Internet as private and secure as it ought to be.

(LW provides consulting services to the vendors we cover.)

*** This is a Security Bloggers Network syndicated blog from The Last Watchdog authored by bacohido. Read the original post at: https://www.lastwatchdog.com/my-take-pki-digital-certificates-now-ready-to-take-on-the-task-of-securing-digital-transformation/

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MY TAKE: PKI, digital certificates now ready to take on the task of securing digital transformation - Security Boulevard

Commencing with a signing ceremony of a Memorandum of Understanding on Thursday, 20th February 2020, in the Soesilo Soedarman Hall, Sapta Pesona Building, the three institutions officially started the collaboration. This ceremony focused on a commitment to foster awareness of the benefits of Quantum Communication Technology for broad telecommunications network security in Indonesia.

The seminar was attended by officials from the government, telecommunication companies, satellite-based companies, banks and academics from several universities. This seminar will be followed by a technical workshop involving experts in quantum communications and computing from ITB and SpeQtral, as well as government officials.

Quantum technologies make use of the ability to control and manipulate small objects governed by quantum physics, such as atoms, photons and electrons. This subject includes quantum computing, quantum communications, and quantum sensing. Of these, quantum communications is the most advanced regarding its physical implementation, and its immediate application to secure communications. Quantum communications utilizes the quantum property of photons to create a unique ability to detect eavesdroppers and create quantum channels for secure communications.

Chune Yang Lum as Chief Executive Officer (CEO) of SpeQtral said, We believe that quantum communications have the power to transform the security of the worlds network. He also explained that one application of the new technology of quantum communication is Quantum Key Distribution (QKD), which can be used to securely distribute encryption keys that are safe from eavesdroppers.

Dean of SEEI-ITB, Prof. Dwi H. Widyantoro added that QKD is a technology that can provide the best network security system in the protection of communication data. Future networks need QKD to provide the best security. Fortunately, QKD systems are available today. QKD was invented thirty years ago and developed in universities and research labs. The technology is now finally ready to deliver in Indonesia.

Along with the advancing development of QKD technology throughout the world, Mirza Whibowo Soenarto as Chairman of the Kennlines Capital Group said that this technology has the potential to be practiced in the fields of government and defense, telecommunications, network security, banking and enterprise systems. Indonesia needs networks that meet the highest levels of security to minimize losses caused by unwanted parties and QKD is a solution to these problems.

Through utilizing SpeQtrals reputation as one of the companies that excel in the research of quantum communications technology and satellite telecommunications technology, this collaboration aims to widely introduce the technology and raise awareness of the benefits of quantum communications technology and telecommunications network security in Indonesia. SpeQtral warmly welcomes the collaboration with ITB & Kennlines Capital Group and we hope that together, we can enhance the resilience of the communications infrastructure against future eavesdropping threats in Indonesia, Chune Yang said in the Quantum Information Seminars & Workshop 2020 press conference session.

Dwi also announced the enthusiasm for the collaboration itself. He revealed that through this collaboration, ITB could play a role as a center for research and development of Quantum Technology in Indonesia and even Southeast Asia. Mirza added, The signing ceremony of the memorandum of understanding expects to foster motivation for the academics and the public in general, to contribute to the development of Quantum Communication in Indonesia.

Most activities in quantum development are being led by developments under concerted state-sponsored efforts. But there are also commercial developments led by other privately funded companies (including SpeQtral) and larger telecommunication and satellite operators. According to some independent research organizations, the quantum communications market size is expected to top $5B in the next five years.

Link:
SpeQtral, ITB and Kennlines Capital Group, Signs Memorandum of Understanding to Develop Quantum Secure Networks in Indonesia to thwart Eavesdroppers -...

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New report: Quantum Computing Market Size position and size report for 2019 to 2023 recently published - Instant Tech News

DUBLIN--(BUSINESS WIRE)--The "Deep Learning Chip Market to 2027 - Global Analysis and Forecasts By Chip Type; Technology; Industry Vertical" report has been added to ResearchAndMarkets.com's offering.

The global deep learning chip market accounted for US$ 2.04 Bn in 2018 and is expected to grow at a CAGR of 30.0% over the forecast period 2019-2027, to account for US$ 21.31 Bn in 2027.

The increasing investments in deep learning chip start-ups, prominence of quantum computing, and real time consumer behavior insights & increased operational efficiency are few of the factors driving the deep learning chip market worldwide. However, lack of infrastructure & technology know-how in third world countries and dearth of skilled workforce may restrain the future growth of market. Despite these limitations, rising adoption of cloud-based computing across industries is anticipated to offer ample growth opportunities for the players operating in the deep learning chip market during the forecast period.

The market for deep learning chip has been segmented on the basis of chip type, technology, industry vertical, and geography. The deep learning chip market based on chip type is led by GPU segment and is expected to continue its dominance in the forecast period. The deep learning chip market on the basis of technology is segmented into system-on-chip, system-in-package, multi-chip module, others.

The System-on-Chip technology led the deep learning chip market and it is anticipated to continue its dominance during the forecast period. The market for deep learning chip by industry vertical is further segmented into media & advertising, BFSI, it & telecom, retail, healthcare, automotive & transportation, and others. The BFSI sector is expected to hold the lion's share in the year 2018 and is expected to continue its dominance till 2027.

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Key Topics Covered:

1. Introduction

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3. Research Methodology

4. Deep Learning Chip Market Landscape

4.1 Market Overview

4.2 PEST Analysis

4.3 Ecosystem Analysis

4.4 Expert Opinions

5. Deep Learning Chip Market - Global Market Analysis

5.1 Global Deep Learning Chip Market Overview

5.2 Global Deep Learning Chip Market Forecast and Analysis

5.3 Market Positioning- Top Five Players

6. Deep Learning Chip market - Key Industry Dynamics

6.1 Key Market Drivers

6.1.1 Increasing investments in deep learning chip start-ups

6.1.2 Prominence of Quantum Computing

6.1.3 Real time consumer behaviour insights and increased operational efficiency

6.2 Key Market Restraints

6.2.1 Dearth of skilled workforce

6.2.2 Lack of infrastructure and technology know-how in third world countries

6.3 Key Market Opportunities

6.3.1 Rising adoption of cloud-based computing across industries

6.3.2 Adoption of deep learning chips in edge devices is expected to boom in the forecast period

6.4 Future Trends

6.4.1 ASICs and application-specific custom/hybrid deep learning chips will be the future of deep learning chip market

6.5 impact analysis of Drivers and restraints

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7.1 Overview

7.2 Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027

7.3 GPU

7.4 ASIC

7.5 FPGA

7.6 CPU

7.7 Others

8. Deep Learning Chip Revenue and Forecasts to 2027 - Technology

8.1 Overview

8.2 Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027

8.3 System-on-Chip

8.4 System-in-Package

8.5 Multi-Chip Module

8.6 Others

9. Deep Learning Chip Market Analysis - By Industry Vertical

9.1 Overview

9.2 Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027

9.3 Media & Advertising

9.4 BFSI

9.5 IT & Telecom

9.6 Retail

9.7 Healthcare

9.8 Automotive & Transportation

9.9 Others

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10.1 Overview

10.2 North America Deep learning chip Market Revenue and Forecast to 2027

10.3 Europe Deep Learning Chip Market Revenue and Forecast to 2027

10.4 APAC Deep Learning Chip Market Revenue and Forecasts to 2027

10.5 Middle East and Africa Deep Learning Chip Market Revenue and Forecasts to 2027

10.6 South America Deep Learning Chip Market Revenue and Forecasts to 2027

11. Industry Landscape

11.1 Overview

11.2 Market Initiative

11.3 Merger and Acquisition

11.4 New Development

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12.1 Advanced Micro Devices, Inc.

12.1.1 Key Facts

12.1.2 Business Description

12.1.3 Products and Services

12.1.4 Financial Overview

12.1.5 SWOT Analysis

12.1.6 Key Developments

12.2 Alphabet Inc. (Google)

12.3 Amazon.com, Inc.

12.4 Baidu, Inc.

12.5 Huawei Technologies Co., Ltd.

12.6 Intel Corporation

12.7 NVIDIA Corporation

12.8 Qualcomm Incorporated

12.9 Samsung electronics Co., Ltd.

12.10 Xilinx, Inc.

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Global Deep Learning Chip Market (2019 to 2027) - Drivers, Restraints, Opportunities and Trends - ResearchAndMarkets.com - Business Wire

The Quantum Computing Technologies Market report provides an analysis of Quantum Computing Technologies Industry share, development policy, size, growth, trends, regional outlook and 2026 forecast analysis. It also highlights the drivers, restraints, and opportunities of the market during the said period. The study provides a complete perspective on the evolution of the global Quantum Computing Technologies market throughout the above mentioned forecast period in terms of revenue (US$ Bn)

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The Quantum Computing Technologies Market report comprises a detailed value chain analysis, which provides a comprehensive view of the global market. The Porters Five Forces model for the market has also been included to help understand the competitive landscape in the Quantum Computing Technologies market.

The report also highlights opportunities and future scope in the Quantum Computing Technologies market at the global and regional level. The study encompasses market attractiveness analysis, wherein the service is benchmarked based on market size, growth rate, and general Quantum Computing Technologies industry share.

The key players covered in this study

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The study includes profiles of major companies operating in the global Quantum Computing Technologies market. Market players have been profiled in terms of attributes such as company overview, financial overview, business strategies, and recent developments.

Regional analysis is another highly comprehensive part of the research and analysis study of the global Quantum Computing Technologies market presented in the report. This section sheds light on the sales growth of different regional and country-level Quantum Computing Technologies markets.

The key regions and countries covered in this report are:

Market segment by Type, the product can be split intoSoftwareHardware

Market segment by Application, split intoGovernmentBusinessHigh-TechBanking & SecuritiesManufacturing & LogisticsInsuranceOther

In order to compile the Quantum Computing Technologies market research report, we conducted in-depth interviews and discussions with a number of key industry participants and opinion leaders.

We reviewed key players product literature, annual reports, press releases, and relevant documents for competitive analysis and Quantum Computing Technologies market understanding. Secondary research also includes a search of recent trade, technical writing, internet sources, statistics data from government websites, trade associations, and agencies.

This has proven to be the most reliable, effective, and successful approach for obtaining precise market data, capturing industry participants insights, and recognizing business opportunities.

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Quantum Computing Technologies Market Key Stakeholders:

Key Points from Table of Content:

1 Quantum Computing Technologies Market Overview

2 Global Quantum Computing Technologies Market Competition by Manufacturers

3 Global Quantum Computing Technologies Capacity, Production, Revenue (Value) by Region (2015-2020)

4 Global Quantum Computing Technologies Supply (Production), Consumption, Export, Import by Region (2015-2020)

5 Global Quantum Computing Technologies Production, Revenue (Value), Price Trend by Type

6 Global Quantum Computing Technologies Market Analysis by Application

7 Global Quantum Computing Technologies Manufacturers Profiles/Analysis

8 Quantum Computing Technologies Manufacturing Cost Analysis

9 Quantum Computing Technologies Industrial Chain, Sourcing Strategy and Downstream Buyers

10 Quantum Computing Technologies Marketing Strategy Analysis, Distributors/Traders

11 Quantum Computing Technologies Market Effect Factors Analysis

12 Global Quantum Computing Technologies Market Forecast (2020-2026)

13 Quantum Computing Technologies Market Research Findings and Conclusion

14 Appendix

If you need anything more than these then let us know and we will prepare the report according to your requirement.

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Quantum Computing Technologies Market: Industry Players Analysis, New Innovation, Growth Prospects, Size, Growth, Revenue, Development Policy,...

Today Hyperion Research announced high-profile speakers from major banking and investment firms will highlight the agenda at the next HPC User Forum. Thomas Thurston, CTO of WR Hambrecht Ventures, and Brad Spiers, executive director at JP Morgan Chase will deliver keynote talks at the event, which takes place March 30-April 1 in Princeton, New Jersey.

Thomas Thurston

Thomas Thurston is chief technology officer and a partner at WR Hambrecht Ventures, the investment arm of global banking firm WR Hambrecht & Co. Thurston is a venture capitalist who developed the MESE computing system and uses data science to identify disruptive growth companies. Formerly, he used data science to guide growth investments at Intel and led a joint R&D effort at the Harvard Business School to develop predictive statistical models for early stage innovation.

Brad Spiers

The HPC User Forum meeting will also feature talks by U.S. and international experts on exascale computing and architectures, massive-scale analytics, AI for cyber operations, cancer research, fusion energy, seismology, HPC for small businesses, cloud computing, and quantum computing, along with technical updates from HPC vendors.

Register now

Check out our insideHPC Newsletter

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HPC User Forum to Explore AI-HPDA Use In Banking and Investment Firms - insideHPC

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The European Commission has set out plans to invest 2bn in a trustworthy and energy efficient cloud computing alliance as part of a drive to unshackle the bloc from US digital infrastructure.

The initiative was included in a package of measures unveiled by senior Commission officials today in a bid to restore the continents technological sovereignty.

The funding, which would form part of a 15bn investment in Europes Digital, Industry and Space cluster, will be funnelled into a High Impact project on European data spaces, according to the Commission.

Details of the plans remain elusive, but its expected that the funding will go towards the Gaia-X programme, a French and German-led initiative aimed at bringing together cloud providers from across the continent. The initiative has attracted criticism from the US tech industry, which, primarily thanks to Amazon Web Services, dominates the global infrastructure-as-a-service market.

Speaking in Brussels on Wednesday, the Commissions industry czar Thierry Breton said that a key plank of the plans would focus on creating shared trusts for industrial data. The battle for industrial data starts now and Europe will be the main battlefield. Europe has the largest industrial base. The winners of today will not be the winners of tomorrow, he told reporters.

The Commission also published proposals on Wednesday to redraft antitrust laws, police online content and create legislation governing artificial intelligence, amid concerns that the EU is failing to keep pace with the US and China on technology and that existing measures to rein in firms such as Facebook, Google, Amazon and Apple have failed to effect long-lasting change.

In a statement issued on Wednesday, new Commission president Ursula von der Leyen (pictured) said: Europes digital transition must protect and empower citizens, businesses and society as a whole. It has to deliver for people so that they feel the benefits of technology in their lives. To make this happen, Europe needs to have its own digital capacities be it quantum computing, 5G, cybersecurity or artificial intelligence (AI).

The Commission plans to consult on the plans over the coming months, before bringing forward legislation later in the year.

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The EU is preparing to invest 2bn in a bloc-wide cloud computing alliance - NS Tech