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Quantum is no longer an experimental science for the UK.

The UK government has highlighted 38 UK run quantum projects that will receive a share of a 70 million investment that aims to develop technologies ranging from new electric vehicle batteries to advanced imaging systems that detect cancer.

Quantum technologies could potentially bring about technological breakthroughs in the field of cryptography as quantum computers are expected to be exponentially faster than HPC system operating today.

This round of investment will go to 80 companies and 30 university that are working on the 38 quantum projects. Enterprise and universities are collaborating on many of the projects like the University of Manchester which is working with the medical imaging firm Adaptix to develop a sensor that can differentiate between cancers tissues and healthy ones.

UK Research and Innovation Challenge Director Roger McKinlay commented that: About one third of the projects concern quantum computing, demonstrating that the UK is becoming the go-to place for this game changing technology, with a growing community of thriving spin-outs, led by world-class teams. Quantum computers will be exponentially faster than classical computers at certain kinds of complex problems, solving in seconds what would take the best classical computers thousands of years.

Last year the UK government committed 153 million towards the development of quantum technologies, bringing total investment into the nascent technology to 1 billion. This weeks allocation of funding to the 38 projects is part of that larger investment.

Through the National Quantum Technologies Programme the 153 million is expected to be matched with a 200 million investment from the private sector. Overall the UK government hopes to increase research and development investment to 2.4% of GDP.

The UK is also establishing a National Quantum Computing Centre, this centre will be delivered by the UK Research and Innovation body which works in collaboration with industry and universities.

At the time of the investment Science Minister Chris Skidmore commented that: This milestone shows that Quantum is no longer an experimental science for the UK. Investment by government and businesses is paying off, as we become one of the worlds leading nations for quantum science and technologies. Now industry is turning what was once a futuristic pipedream into life-changing products. This is our modern Industrial Strategy in action taking the most innovative ideas from our world-leading researchers and showing how they can be applied, from diagnosing diseases to detecting gas leaks.

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UK Increases Quantum Investment with Funding of 38 New Projects - Computer Business Review

The global Quantum Computing Technologies Market is projected to grow with a striking growth rate of 24 % over the forecast period 20192026 divulges the latest research report presented by Big Market Research.

The report represents a basic overview of the market status, competitor segment with a basic introduction of key vendors, top regions, product types and end industries. This report gives a historical overview of the market trends, growth, revenue, capacity, cost structure, and key drivers analysis.

The report is an exhaustive analysis of this market across the world. It offers an overview of the market including its definition, applications, key drivers, key market players, key segments, and manufacturing technology. In addition, the study presents statistical data on the status of the market and hence is a valuable source of guidance for companies and individuals interested in the industry. Additionally, detailed insights on the company profile, product specifications, capacity, production value, and market shares for key vendors are presented in the report.

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The total market is further segmented based on company, country, and application/type for competitive landscape analysis. On the contrary, information on industry chain structure, emerging applications, and technological developments in the market makes the report a must-read document.

The report reveals detailed information about the global key players as well as some small players of the Quantum Computing Technologies sector.

Target Audience of the Global Quantum Computing Technologies Market in Market Study:Key Consulting Companies & AdvisorsLarge, medium-sized, and small enterprisesVenture capitalistsValue-Added Resellers (VARs)Third-party knowledge providersInvestment bankersInvestors

These insights help determine the strength of competition and take the necessary steps to obtain a leading position in the Quantum Computing Technologies industry.

Additionally, the research provides a detailed analysis of the key segments of the market with the help of charts and tables. An overview of each market segment such as type, application, and region are also provided in the report. These insights help in understanding the global trends in the Quantum Computing Technologies industry and form strategies to be implemented in the future.

The regional analysis of global Quantum Computing Technologies market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the high disposable income coupled with rising trend of interior designing in the region. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2019-2026

Our analysis involves the study of the market taking into consideration the impact of the COVID-19 pandemic. Please get in touch with us to get your hands on exhaustive coverage of the impact of the current situation on the market. Our expert team of analysts will provide as per report customized to your requirement. For more connect with us at [emailprotected] or call toll free: +1-800-910-6452

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Key Market Segments

The key players profiled in this report include: D-Wave Systems Inc., IBM Corporation, Lockheed Martin Corporation, Intel Corporation, Anyon Systems Inc., Cambridge Quantum Computing Limited

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study.

Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

The study clearly reveals that the Quantum Computing Technologies industry has attained remarkable growth since 2019-2026. This research report is prepared based on an in-depth analysis of the market by experts. As a final point, stakeholders, investors, product managers, marketing executives, and other professionals seeking unbiased data on supply, demand, and future forecasts would find the report valuable.

Table of ContentsChapter 1. Global Quantum Computing Technologies Market Definition and ScopeChapter 2. Research MethodologyChapter 3. Executive SummaryChapter 4. Global Quantum Computing Technologies Market DynamicsChapter 5. Quantum Computing Technologies Market, by ComponentChapter 6. Global Quantum Computing Technologies Market, by ServicesChapter 7. Global Quantum Computing Technologies Market, by Organization SizeChapter 8. Quantum Computing Technologies Market, by VerticalChapter 9. Quantum Computing Technologies Market, by Regional AnalysisChapter 10. Competitive Intelligence

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Global Quantum Computing Technologies Market Report 2019 by Companies Profiles, Trend, Business Competitors, Growing Demand, Cost Structure,...

A study on the Global Quantum Information Processing market is also beneficial and used for the estimation of the several aspects of the market which are likely to have an impact on the growth and the forecast of the market in the estimated forecast period.The report also covers the detailed analysis of the vendors and the technologies which are being used by the manufacturers for the growth of the market in the estimated forecast period. It also covers and measures the patterns of the consumers, which is likely to have an impact on the growth of the market for the estimated forecast period. It also determines and estimates the views and opinions which are expressed by the consumers.

This study covers following key players:1QB Information TechnologiesAirbusAnyon SystemsCambridge Quantum ComputingD-Wave SystemsGoogleMicrosoftIBMIntelQC WareQuantumRigetti ComputingStrangeworksZapata Computing

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These are also used for the estimation of the strategies of the new entrants in the market. The strengths and the political factors, which are likely to affect the market is also covered in detail for the estimation of the market in the estimated forecast. The study is based on the estimation of the trends, which are based on the present, future and the strategies which are used in the past. These are used for the prediction and analysis of the market for the estimated forecast period.

The study also provides detailed analysis of the market, which consists of the growth of the regions, which is one of the major aspects which is likely to have an impact on the market. Market research is one of the methods for the determination and estimation of the growth of the global Quantum Information Processing market in the estimated forecast period. A detailed study on the global Quantum Information Processing market is used for the understanding the strategies, which is used by the manufacturers for increased in changes for the growth of the market in the estimated forecast period.

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Market segment by Type, the product can be split into HardwareSoftware

Market segment by Application, split into BFSITelecommunications and ITRetail and E-CommerceGovernment and DefenseHealthcareManufacturingEnergy and UtilitiesConstruction and EngineeringOthers

Moreover, increased demand for the growth of the products in the specific market is also one of the major attributes which are likely to have an impact on the growth of the market in the estimated forecast period. One of the other strategy which is widely used in the market research study is the SWOT analysis.

Some Major TOC Points:1 Report Overview2 Global Growth Trends3 Market Share by Key Players4 Breakdown Data by Type and ApplicationContinued

It also provides detailed analysis of the consumer patterns which are being used and the estimation of the end users in the forecast period for the global Quantum Information Processing market. The global Quantum Information Processing market provides a brief summary for the estimates and the analysis of the detailed segments for the market.

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Global Quantum Information Processing Market Expected to reach highest CAGR by 2025: 1QB Information Technologies, Airbus, Anyon Systems, Cambridge...

Assessment of the Quantum Computing Market

The recent study on the Quantum Computing Market is a comprehensive analysis of the various parameters that are likely to influence the growth of the Quantum Computing Market. The historical and current market trends are taken into consideration while predicting the future prospects of the Quantum Computing Market. Further, the study introspects the major trends that are likely to impact the growth of the Quantum Computing Market during the forecast period 2019-2029.

The investors, stakeholders, emerging and established players can leverage the data included in the report to develop impactful growth strategies and improve their position in the current Quantum Computing Market landscape. The report provides a thorough assessment of the micro and macro-economic factors that are expected to impact the growth of the Quantum Computing Market.

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Competitive Assessment

The competitive assessment section provides insights related to the developments made by leading players in the Quantum Computing Market in terms of product development, mergers, collaborations, and more. The product portfolio of each company is evaluated along with its pricing structure and marketing strategies.

Regional Assessment

The regional assessment chapter of the report offers an in-depth understanding of the growth prospects of the Quantum Computing Market across different geographies such as:

End-use Industry

The adoption pattern of the Quantum Computing across various end-use industries is highlighted in the report and represented using informative graphs, figures, and tables. The different end-use industries studied in the report include:

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Valuable Market Insights Included in the Report

The report addresses the following queries related to the Quantum Computing Market

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Quantum Computing Market: Segmentation, Industry trends and Development to 2019-2029 - The Canton Independent Sentinel

Science Minister Amanda Solloway has today (Monday 15 June) announced 38 new UK projects that will benefit from more than 70 million government investment to help mark the start of Quantum Tech Digital Week.

The new projects aim to solve global challenges and address key industrial challenges, from developing batteries for electric vehicles to innovating energy storage systems that will reduce greenhouse gas emissions, via the use of advanced quantum technologies.

The technologies that have transformed our lives - the building blocks of modern computers, the mobile phone, the laser, the MRI scanner are all products of quantum science. This involves harnessing the unique ways that light and matter behave at tiny atomic or subatomic levels.

A new generation of quantum technologies exploit breakthroughs in the way that we are able to precisely manipulate and measure these special properties, to engineer quantum devices - like sensors and computers - with dramatically enhanced functionality and performance.

Todays significant cash injection will help drive forward quantum technologies and ensure the UK becomes a world-leader in this emerging field.

One project being led by Adaptix, a medical imaging company, in collaboration with the University of Manchester will use enhanced imaging to allow surgeons to effectively differentiate between healthy tissues and tumours in cancer surgery.

In addition, QLM, a start-up from Bristol, in collaboration with BP and the National Grid will use the funds to develop quantum enabled gas sensors that detect industrial leaks, helping to prevent natural gas being lost to the atmosphere and contributing to greenhouse gas emissions.

The funding forms part of the governments commitment to increase research and development investment to 2.4% of GDP.

Speaking at the Quantum Tech Digital Congress, Science Minister Amanda Solloway said:

The UK is home to some of the worlds most advanced quantum technology companies tackling some of the most pressing challenges - from speeding up the diagnosis of cancerous tumours to detecting harmful gas leaks.

I am delighted the government is able to provide this thriving sector with the backing it deserves. The projects I have announced today will help to maintain the UKs status as a world leader in quantum technology.

The 70 million government investment is part of its Quantum Technologies Challenge, led by UK Research and Innovation (UKRI). The projects involve over 80 companies and nearly 30 universities and research organisations across the UK including the University of Glasgow, University College London and the National Physical Laboratory.

Other quantum technology projects receiving funding include:

UKRI Challenge Director Roger McKinlay said:

Many of these projects have managed to start during lockdown which is very good news. The funding competitions were over-subscribed, illustrating the vibrancy and rate of growth of the UKs emerging quantum technology sector.

About one third of the projects concern quantum computing, demonstrating that the UK is becoming the go-to place for this game changing technology, with a growing community of thriving spin-outs, led by world-class teams. Quantum computers will be exponentially faster than classical computers at certain kinds of complex problems, solving in seconds what would take the best classical computers thousands of years.

The investment is part of a wider package delivered by The National Quantum Technologies Programme which is set to see more than 1 billion of public and private investment over its lifetime.

The grants that have been awarded will be matched with over 30 million of private investment into the sector, driving the UKs leading position in quantum technologies.

153 million of funding for Quantum technologies was announced by the Government in June 2019 as part of Industrial Strategy Challenge Fund wave 3 quantum challenge, to promote the commercialisation of quantum technologies. Half of this funding is now committed to projects and companies.

The 38 projects have been awarded grants from the Quantum Technologies Challenge in 2020. The projects are at different stages some are underway, others are still subject to terms and conditions checks.

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70 million funding to secure UK position as a world-leader in quantum technology - GOV.UK

In this bimonthly feature,HPCwirehighlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here.

Developing a performance model-based predictor for parallel applications on the cloud

As cloud computing becomes an increasingly viable alternative to on-premises HPC, researchers are turning their eyes to addressing latency and unreliability issues in cloud HPC environments. These researchers a duo from the Egypt-Japan University of Science and Technology and Benha University propose a predictor for the execution time of MPI-based cloud HPC applications, finding an 88% accuracy on ten benchmarks.

Authors: Abdallah Saad and Ahmed El-Mahdy.

Investigating portability, performance and maintenance tradeoffs in exascale systems

As the exascale era swiftly approaches, researchers are increasingly grappling with the difficult tradeoffs between major system priorities that will be demanded by such massive systems. These researchers a team from the University of Macedonia explore these tradeoffs through a case study measuring the effect of runtime optimizations on code maintainability.

Authors: Elvira-Maria Arvanitou, Apostolos Ampatzoglou, Nikolaos Nikolaidis, Aggeliki-Agathi Tzintzira, Areti Ampatzoglou and Alexander Chatzigeorgiou.

Moving toward a globally acknowledged HPC certification

Skillsets are incredibly important in the HPC world, but certification is far from uniform. This paper, written by a team from four universities in the UK and Germany, describes the HPC Certification Forum: an effort to categorize, define and examine competencies expected from proficient HPC practitioners. The authors describe the first two years of the community-led forum and outline plans for the first officially supported certificate in the second half of 2020.

Authors: Julian Kunkel, Weronika Filinger, Christian Meesters and Anja Gerbes.

Uncovering the hidden cityscape of ancient Hermione with HPC

In this paper, a team of researchers from the Digital Archaeology Laboratory at Lund University describe how they used a combination of HPC and integrated digital methods to uncover the ancient cityscape of Hermione, Greece. Using drones, laser scanning and modeling techniques, they fed their inputs into an HPC system, where they rendered a fully 3D representation of the citys landscape.

Authors: Giacomo Landeschi, Stefan Lindgren, Henrik Gerding, Alcestis Papadimitriou and Jenny Wallensten.

Examining thermal neutrons threat to supercomputers

Off-the-shelf devices are performant, efficient and cheap, making them popular choices for HPC and other compute-intensive fields. However, the cheap boron used in these devices makes them susceptible to thermal neutrons, which these authors (a team from Brazil, the UK and Los Alamos National Laboratory) contend pose a serious threat to those devices reliability. The authors examine RAM, GPUs, accelerators, an FPGA and more, tinkering with variables that affect the thermal neutron flux and measuring the threat posed by the neutrons under various conditions.

Authors: Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fernando Fernandes dos Santos, Gabriel Piscoya Dvila, Philippe Navaux, Andrea Favalli, Opale Schappert, Stephen Wender, Carlo Cazzaniga, Christopher Frost and Paolo Rech.

Deploying scientific AI networks at petaflop scale on HPC systems with containers

The computational demands of AI and ML systems are rapidly increasing in the scientific research sphere. These authors a duo from LRZ and CERN discuss the complications surrounding the deployment of ML frameworks on large-scale, secure HPC systems. They highlight a case study deployment of a convolutional neural network with petaflop performance on an HPC system.

Authors: David Brayford and Sofia Vallecorsa.

Running a high-performance simulation of a spiking neural network on GPUs

Spiking neural networks (SNNs) are the most commonly used computational model for neuroscience and neuromorphic computing, but simulations of SNNs on GPUs have imperfectly represented the networks, leading to performance and behavior shortfalls. These authors from Tsinghua University propose a series of technical approaches to more accurately representing SNNs on GPUs, including a code generation framework for high-performance simulations.

Authors: Peng Qu, Youhui Zhang, Xiang Fei and Weimin Zheng.

Do you know about research that should be included in next months list? If so, send us an email at[emailprotected]. We look forward to hearing from you.

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What's New in HPC Research: Hermione, Thermal Neutrons, Certifications & More - HPCwire

As time goes on, the value of efficiency and convenience becomes more and more important. Weve seen this in many examples from talk-to-text, to ordering food directly to your door without ever even speaking to another human.

Now coming into the convenience game is a keyboard that allows you to scan instead of type. Anyline is the new keyboard that instantly collects data with the snap of a camera.

Scan ID information, serial numbers, vouchers, IBANs, and barcodes in an instant with your smartphone, as it is compatible with Android and iOS. The app also allows you to scan things such as gift card barcodes, phone numbers you see on street advertisements, and more so, in a sense, it brings CTRL + C to real life.

With your smartphone, you can instantly collect data with the scan function on your keyboard. The platform is compatible with messenger, email, and browser apps. You scan the data and instantly paste it where you want it, saving the time of manual data entry.

This would be useful for scanning things to your notes section that you may refer to often, like your health insurance ID number, your WiFi router information, credit card info and what not.With anything else like this, the concern of privacy is always there so make sure youre doing what you can to protect your information (using a passcode and/or Face ID, not using shared/public networks, etc.) While you should know it by heart, I would recommend not ever scanning your social security number.

However, something like this does save a lot of time as it doesnt involve mistyping it picks up a barcode accurately. Also, you wont need someone reading something back to you so you can accurately type it down into your phone.

This could be a simple way to save time and become a more efficient person in general, and it makes it easier to share information with others. This is also super helpful for people who have trouble reading the teeny tiny type that barcodes are often displayed in.

Comment your thoughts below, and share any tips you use to help further your efficiency!

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This new keyboard makes copying and pasting as easy as snapping a pic - The American Genius

AI, 5G, internet of things, server-less computing and biometrics topped this year's list of emerging technologies, according to an annual ranking by the Computing Technology Industry Association.

Both AI and 5G moved up a spot from 2019 to take first and second place, respectively,and biometrics jumped two spots comingin fifth place. Server-less computing remained in fourth place, and the internet of things, which held the top spot in 2019, slid to the third spot on 2020's list.

Drones and 3D printing, which held top spots in the past, dropped off the list completely. The rest of the 2020 rankings in order from the sixth spot to the 10th were:

"Our ranking represents a consensus viewpoint that emerged after some spirited debate and discussion with the community," Michael Haines, director of partner incentive strategy and program design for Microsoft and chair of the CompTIA emerging technology community, said in the association's press release. The community includes industry executives and thought leaders with experience and insight into new technologies and how to create business opportunities and transform business operations.

"AI is probably going to have the most short-term impact as it becomes embedded in almost every software system and is used in process automation to make increasingly smarter systems," said John Rice, president of Think ChannelLLC and member of the emerging technology community. "5G's effect will take a little longer to be seen, but will be no less impactful, providing the increased speed and decreased latency to give other technologies the foundation they need to reach their potential."

This is the third year the association has ranked theemerging technologies based the opportunities they presentfor new business and revenue.

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AI, 5G and biometrics named top tech trends of 2020 - ATM Marketplace

Exponential change is happening in the world around us and within governments.Since the main goal for governments is to serve their citizens, promote well-being, influence positive societal change, and enhance their public services, they need to build a strategy to address all challenges and opportunities. As we move to the new era of public services, we observe new priorities on the agenda appearing, e. g. strengthening the economy, managing and minimizing unemployment impact on society, solidifying and protecting digital assets, and ensuring intelligent management of national data assets to improve analytic reporting and predictive capabilities drastically. It is imperative for governments to embrace this new standard, redefine strategies that will break information silos to empower government employees to prioritize issues and opportunities, and design citizen-centric services and experiences. And the right technology is key to bringing that mission into a rapidly changing, digital world.

The first digital event in the Government Industry created by Microsoft Government Virtual Summit will open future perspectives on how digital agility can provide resilient and agile public services. Microsoft Public Sector experts Panayiotis Ioannou and Evangelos Chrysafidis will cover the importance of tech-intensity philosophy in responding to changes, perspectives for growth, and setting Modern Government foundations. They will explain how to engage and connect with citizens, modernize the government workplace, and enhance government services.

Intelligent cloud and intelligent edge solutions make possible technology transformation that is unlocking new mission scenarios for government agencies that were not possible before. They make it possible to provide consistent power to critical institutions like hospitals and schools, manage precious resources like energy, food, and water, as well as helping government improve citizen services comments Mykhaylo Shmyelov, Microsoft National Tech Officer for 24 countries in CEE. For the audience of the Summit, he will highlight top-preferred technologies in the Government industry, among which AI, Quantum Computing, Open Data, and Big Data.

When the whole world drastically moved online, one of the essential topics globally became cybersecurity. It was set as a priority for governments around the world, as they consider how to protect assets, systems, and networks vital to the operation and stability of a nation and the livelihood of its people. According to Microsoft Security Intelligence Report, in the last 30 days, more than 86 million devices have been encountered with various sorts of malware across the cities in most populated countries. Therefore, Microsoft Security expert Yoad Dvir will present how to enhance cybersecurity and protect critical information infrastructures that became essential to every nations security and economic well-being. Dr. Rytis Rainys, Director of the National Cyber Security Center Lithuania, Neboja Joki, the Head of CERT of the Ministry of Internal Affairs of Serbia, and Robert Kosla, Director of Department of Cybersecurity of the Ministry of the Digital Affairs of Poland, will share experiences and learnings on cybersecurity approaches.

International experience exchange will become the highlight of the event. Jnis Ziedi, Project Manager of Culture Information Systems Centre of Latvia, will share the experience of how the Ministry of Latvia is utilizing the national chatbot platform and offering cooperation to other governments on knowledge sharing and joint development. Masha Melkova, Microsoft Modern Workplace Lead for 24 countries in CEE, will illustrate the digital transformation of the Estonian government, one of the worlds best examples of e-government. Estonia started its digital transformation journey 20 years ago, starting from changing legislation and creating our first e-solutions. The idea is to make sure all public services involve as little bureaucracy as possible Melkova is underlining.

At the same time, when introducing new services, the government needs to upgrade employees skills to keep pace with changes. Governments that are investing in improving the skills of their employees are proved to be more resilient and future-ready. Dragana Jovi Tucakov, Microsoft Enterprise Marcom for 24 countries in CEE, will share useful resources that government entities can leverage already starting from now.

There is an excellent opportunity for governments and society to stay more connected than ever, despite the difficult times all of us have been going through. It is a time for learning from each other and sharing practices, experiences, and ideas. Microsoft stays committed to partnering with governments around the world and support based on local needs, bringing the best of the global practice.

Register now to join the first Microsoft Government Virtual Summit in CEE Multi-Country region, which is going to be delivered in English language. More information: https://info.microsoft.com/CE-DTGOV-WBNR-FY20-06Jun-16-GovernmentVirtualSummitCEEMultiCountryRegion-SRDEM25061_LP01Registration-ForminBody.html

Tags: Government, MultiCountry

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What is Modern Government: Opinion leaders from CEE will discuss the new approach to public services at the Government Virtual Summit - Microsoft

In March, I explored the enterprise readiness of quantum computing in Quantum computing is right around the corner, but cooling is a problem. What are the options? I also detailed potential industry use cases, from supply chain to banking and finance. But what are the industry giants pursuing?

Recently, I listened to two somewhat different perspectives on quantum computing. One is Googles (public) ten-year plan.

Google plans to search for commercially viable applications in the short term, but they dont think there will be many for another ten years - a time frame I've heard one referred to as bound but loose. What that meant was, no more than ten, maybe sooner. In the industry, the term for the current state of the art is NISQ Noisy, Interim Scale Quantum Computing.

The largest quantum computers are in the 50-70 qubit range, and Google feels NISQ has a ceiling of maybe two hundred. The "noisy" part of NISQ is because the qubits need to interact and be nearby. That generates noise. The more qubits, the more noise, and the more challenging it is to control the noise.

But Google suggests the real unsolved problems in fields like optimization, materials science, chemistry, drug discovery, finance, and electronics will take machines with thousands of qubits and even envision one million on a planar array etched in aluminum. Major problems need solving such noise elimination, coherence, and lifetime (a qubit holds its position in a tiny time slice).

In the meantime, Google is seeking customers to work with them to find applications working with Google researchers. Quantum computing needs algorithms as much as it needs qubits. It requires customers with a strong in-house science team and a commitment of three years. Whatever is discovered will be published as open source.

In summary, Google does not see commercial value in NISQ. They are using NISQ to discover what quantum computing can do that has any commercial capability.

First of all, if you have a picture in your mind of a quantum computer, chances are you are not including an essential element a conventional computer. According toQuantum Computing, Progress, and Prospects:

Although reports in the popular press tend to focus on the development of qubits and the number of qubits in the current prototypical quantum computing chip, any quantum computer requires an integrated hardware approach using significant conventional hardware to enable qubits to be controlled, programmed, and read out.

The author is undoubtedly correct. Most material about quantum computers never mentions this, and it raises quite a few issues that can potentially dilute the gee-whiz aspect. I'd heard this first from Itamar Sivan, Ph.D., CEO, Quantum Machines. He followed with the quip that technically, quantum computers aren't computers. Its that simple. They are not Turing Machines. File this under the category of "You're Not Too Old to Learn Something New.

From (Hindi) Theory of Computation - Turing Machine:

A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules. Despite the model's simplicity, given any computer algorithm, a Turing machine capable of simulating that algorithm's logic can be constructed.

Dr. Sivan clarified this as follows:

Any computer to ever be used, from the early-days computers, to massive HPCs, are all Turing-machines, and are thereforeequivalent to one another. All computers developedand manufactured in the last decades, are all merelybigger and more compact variations of one another. A quantum computer however is not MERELY a more advanced Turing machine, it is a different type of machine, and classical Turing machines are not equivalent to quantum computers as they are equivalent to one another.

Therefore, the complexity of running particular algorithms on quantum computers is different from the complexity of running them on classical machines. Just to make it clear, a quantum computer can be degenerated to behave like a classical computer, but NOT vice-versa.

There is a lot more to this concept, but most computers you've ever seen or heard of are Turing Machines, except Quantum computers. This should come as no surprise because anything about quantum mechanics is weird and counter-intuitive, so why would a quantum computer be any different?

According to Sivan, a quantum computer needs three elements to perform: a quantum computer and an orchestration platform of (conventional) hardware and software. There is no software in a quantum computer. The platform manages the progress of their algorithm through, mostly laser beams pulses. The logic needed to operate the quantum computer resides with and is controlled by the orchestration platform.

The crucial difference in Google's and Quantum Machines' strategy is that Google views the current NISQ state of affairs as a testbed for finding algorithms and applications for future development. At the same time, Sivan and his company produced an orchestration platform to put the current technology in play. Their platform is quantum computer agnostic it can operate with any of them. Sivan feels that focusing solely on the number of qubits is just part of the equation. According to Dr. Sivan:

While today's most advanced quantum computers only have a relatively small number of available qubits (53 for IBM's latest generation and 54 for Google's Sycamore processor), we cannot maximize the potential of even this relatively small count. We are leaving a lot on the table with regards to what we can already accomplish with the computing power we already have. While we should continue to scale up the number of qubits, we also need to focus on maximizing what we already have.

Ive asked a few quantum computer scientists if quantum computers can solve the Halting Problem.In Wikipedia:

The halting problem is determining, from a description of an arbitrarycomputer programand an input, whether the program will finish running, or continue to run forever.Alan Turingproved in 1936 that a generalalgorithmto solve the halting problem for all possible program-input pairs could not exist.

That puts it in a class of problems that are undecidable. Oddly, opinion was split onthequestion, despite Turings Proof. Like Simplico said to Galileo inDialogues Concerning Two New Sciences, If Aristotle had not said otherwise I would have believed it.

There are so many undecidable problems in math that I wondered if some of these might fall out.For example, straight from current AI problems, Planning in aPartially observable Markov decision process is considered undecidable. A million qubits? Maybe not. After all, Dr. Sivan pointed out that toreplicate in a classical processor, the information in just a 300 qubit quantum processor would require more transistors than all of the atoms inthe universe.

I've always believed that action speaks louder than words. While Google is taking the long view, Quantum Machines provides the platform to see how far we can go with current technology. Googles tactics are familiar. Every time you use TensorFlow, it gets better. Every time play with their autonomous car, it gets better. Their collaboration with a dozen or so technically advanced companies makes their quantum technology better.

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The technical realities of functional quantum computers - is Googles ten-year plan for Quantum Computing viable? - Diginomica