Category Archives: Quantum Computing

GlobalData, the worldwide data analysts, have offered new research that suggests that many companies are joining the race for quantum supremacy, that is, to be the first to make significant headway with quantum computing.

Quantum computers are a step closer to reality to solve certain real life problems that are beyond the capability of conventional computers, the analysts state.

However, the biggest challenge is that these machines should be able to manipulate several dozens of quantum bits or qubits to achieve impressive computational performance.

As a result, a handful of companies have joined the race to increase the power of qubits and claim quantum supremacy, says GlobalData.

An analysis of GlobalDatas Disruptor Intelligence Center reveals various companies in the race to monetisequantum computing as an everyday tool for business.

IBM's latest quantum computer, accessible via cloud, boasts a 65-qubit Hummingbird chip. It is an advanced version of System Q, its first commercial quantum computer launched in 2019 that has 20 qubits. IBM plans to launch a 1,000-qubit system by the end of 2023.

Alphabet has built a 54-qubit processor Sycamore and demonstrated its quantum supremacy by performing a task of generating a random number in 200 seconds, which it claims would take the most advanced supercomputer 10,000 years to finish the task.

The company also unveiled its newest 72-qubit quantum computer Bristlecone.

Alibabas cloud service subsidiary Aliyun and the Chinese Academy of Sciences jointly launched an 11-qubit quantum computing service, which is available to the public on its quantum computing cloud platform.

Alibaba is the second enterprise to offer the service to public after IBM.

However, its not only the tech giants that are noteworthy. GlobalData finds that well-funded startups have also targeted the quantum computing space to develop hardware, algorithms and security applications.

Some of them are Rigetti, Xanadu, 1Qbit, IonQ, ISARA, Q-CTRL and QxBranch.

Amazon, unlike the tech companies competing to launch quantum computers, is making quantum products of other companies available to users via Braket.

It currently supports quantum computing services from D-Wave, IonQ and Rigetti.

GlobalData principal disruptive tech analyst Kiran Raj says, Qubits can allow to create algorithms for the completion of a task with reduced computational complexity that cannot be achieved with traditional bits.

"Given such advantages, quantum computers can solve some of the intractable problems in cybersecurity, drug research, financial modelling, traffic optimisation and batteries to name a few.

Raj says, Albeit a far cry from the large-scale mainstream use, quantum computers are gearing up to be a transformative reality. They are highly expensive to build and it is hard to maintain the delicate state of superposition and entanglement of qubits.

"Despite such challenges, quantum computers will continue to progress into the future where companies may rent them to solve everyday problems the way they currently rent cloud services.

"It may not come as a surprise that quantum computing one day replaces artificial intelligence as the mainstream technology to help industries tackle problems they never would have attempted to solve before.

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IBM, Alphabet and well-funded startups in the race for quantum supremacy - IT Brief Australia

Courtesy of James Sauls

SQMS director Anna Grassellino and deputy director James Sauls hold a superconducting radio-frequency cavity at Fermilab. These cavities play a pivotal role in developing quantum technologies.

Grace Wu, Assistant Video EditorSeptember 23, 2020

The U.S. Department of Energy recently announced that the Superconducting Quantum Materials and Systems Center, a partnership between NU and Fermi National Accelerator Laboratory, was selected as one of five national quantum information science centers.

The grant, as part of the National Quantum Initiative, consists of $115 million to be used over five years. Quantum information science has huge implications for multiple fields, ranging from traditional sciences such as physics and chemistry to industries like finance to national security, due to quantum computers ability to process computations at never-before seen speeds.

Quantum computers are able to perform computations at such high speeds due to the nature of quantum bits, or qubits. Classical, or traditional, computers data is encoded in binary bits, a one or a zero, and the data can only exist in one of these states at a time. Qubits are unique because they have an atomic system that allows them to exist in both states simultaneously, thus creating exponential computing potential.

Google and IBM have already each built their own quantum computer. At its unveiling in Oct. 2019, Googles Sycamore quantum computer could process 53 qubits, meaning it could process two to the 53rd power quantum bits, or pieces of information. For context, the Sycamore processor performed a computation in 200 seconds that would take the fastest classical computers about 10,000 years.

Out of the five NQI centers, SQMS is the only center who has proposed to build a next-generation, state-of-the-art quantum computer, according to SQMS deputy director and McCormick Prof. James Sauls. This computer is aimed to process over 100 qubits, and NU has the technology to engineer it, Sauls added.

There will be some synergy between these five different centers as we grow, and we figure out what each other are doing, Sauls said. Another mission that the Department of Energy has is to make the five national centers something bigger than just the sum of each part.

As for NUs partnership with Fermilab in SQMS, research in quantum information science has already been underway before submitting the proposal for the DOE grant, according to McCormick Prof. Peter Voorhees, one of the six materials science and engineering faculty working in the center. Fermilab has some of the worlds best superconducting electromagnetic cavities, and Northwestern has already established strength and knowledge in the field of superconductivity and materials science, Voorhees said.

Weve been working on it before, and we were waiting for people to agree with us that its an important thing to do, Voorhees said. Between (Fermilab) and Northwestern, this is the place where you want to put your investment.

SQMS has four components dedicated to developing the technology, building the devices, elaborating on the physics of the sensing and recruiting young scientists and providing them with research experience and learning in quantum information science, Sauls said.

There are currently 35 people on staff from NU, a number that will easily grow to 50, Sauls said. Faculty from the physics and astronomy, materials science and engineering, and electrical engineering departments will lead research and engineering initiatives. SQMS will also be working in conjunction with Rigetti Computing, National Institute of Standards and Technology and other universities.

In addition to engineering a powerful computer, SQMS will also be engaging in fundamental science research, as the same devices that are used for computing can also be used in detecting particles such as dark matter, Sauls said.

Research funded by the DOE has not yet commenced because the grant hasnt arrived yet at NU, Voorhees said. However, he said he thinks its going to happen in record time due to the technologys important implications.

I think its really fun and exciting to be part of an effort thats truly interdisciplinary, Voorhees said. (It) involves a national lab (and) people from other disciplines that is in an area thats so exciting and promising for the future.

Email: [emailprotected]Twitter: @gracewu_10

Related Stories: Northwesterns Center for Molecular Quantum Transduction receives $12.4 million in research funding

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NU receives $115 million federal grant to research and develop beyond state-of-the-art quantum computer - Daily Northwestern

This report focuses on the Global Quantum Computing Market trends, future forecasts, growth opportunities, key end-user industries, and market players. The objectives of the study are to present the key developments of the market across the globe.

The latest research report on Quantum Computing market encompasses a detailed compilation of this industry, and a creditable overview of its segmentation. In short, the study incorporates a generic overview of the Quantum Computing market based on its current status and market size, in terms of volume and returns. The study also comprises a summary of important data considering the geographical terrain of the industry as well as the industry players that seem to have achieved a powerful status across the Quantum Computing market.

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Quantum Computing Market Segmentation

By Revenue SourceHardware, Software, Services

By ApplicationSimulation, Optimization, Sampling

By IndustryDefense, Healthcare & Pharmaceuticals, Chemicals, Banking & Finance, Energy & Power

The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue, production, and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2015 to 2026. These analyses will help the reader to understand the potential worth of investment in a particular region.

Global Quantum Computing Market: Competitive LandscapeThis section of the report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combat competition in the market. The comprehensive report provides a significant microscopic look at the market. The reader can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, the global price of manufacturers, and production by manufacturers during the forecast period of 2015 to 2020.

The major players in the market D-Wave Systems Inc., Qxbranch, LLC, International Business Machines Corporation (IBM), Cambridge Quantum Computing Ltd, 1qb Information Technologies Inc., QC Ware Corp., Magiq Technologies Inc., Station Q Microsoft Corporation, Rigetti Computing, Research at Google Google Inc.

Global Quantum Computing MarketThis research report providesCOVID-19 Outbreakstudy accumulated to offer Latest insights about acute features of the Quantum Computing Market. The report contains different market predictions related to marketsize, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary andSWOT analysis.It presents the360-degreeoverview of the competitive landscape of the industries. Quantum Computing Market is showing steadygrowthandCAGRis expected to improve during the forecast period.

The main sources are industry experts from the global Quantum Computing industry, including management organizations, processing organizations, and analytical services providers that address the value chain of industry organizations. We interviewed all major sources to collect and certify qualitative and quantitative information and to determine future prospects. The qualities of this study in the industry experts industry, such as CEO, vice president, marketing director, technology and innovation director, founder and key executives of key core companies and institutions in major biomass waste containers around the world in the extensive primary research conducted for this study We interviewed to acquire and verify both sides and quantitative aspects.

Global Quantum Computing Market: Regional AnalysisThe report offers in-depth assessment of the growth and other aspects of the Quantum Computing market in important regions, including the U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.

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Complete Analysis of the Quantum Computing Market:

Comprehensive assessable analysis of the industry is provided for the period of 2020-2025 to help investors to capitalize on the essential market opportunities.

The key findings and recommendations highlight vital progressive industry trends in the global Quantum Computing market, thereby allowing players to improve effective long term policies

A complete analysis of the factors that drive market evolution is provided in the report.

To analyze opportunities in the market for stakeholders by categorizing the high-growth segments of the market

The numerous opportunities in the Quantum Computing market are also given.

Report Answers Following Questions:

What are the factors driving the growth of the market?

What factors are inhibiting market growth?

What are the future opportunities in the market?

Which are the most dynamic companies and what are their recent developments within the Quantum Computing Market?

What key developments can be expected in the coming years?

What are the key trends observed in the market?

TABLE OF CONTENT

1 Report Overview

2 Global Growth Trends

3 Market Share by Key Players

4 Breakdown Data by Type and Application

5 United States

6 Europe

7 China

8 Japan

9 Southeast Asia

10 India

11 Central & South America

12 International Players Profiles

13 Market Forecast 2020-2025

14 Analysts Viewpoints/Conclusions

15 Appendix

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Global Quantum Computing Market 2020 : Worldwide Overview by Industry Size and Share, Future Trends, Growth Factors and Leading Players | D-Wave...

The Trump administration on Friday announced that it had signed an artificial intelligence (AI) research and development agreement with the United Kingdom.

The U.S. and the U.K. formally committed to the Declaration on Cooperation in Artificial Intelligence Research and Development, which is meant to promote cooperation between the two nations on AI development along with recommending priorities for AI planning and programming, including student and researcher collaboration.

According to the White Houses Office of Science and Technology Policy (OSTP), the agreement is the result of a meeting between President TrumpDonald John TrumpSteele Dossier sub-source was subject of FBI counterintelligence probe Pelosi slams Trump executive order on pre-existing conditions: It 'isn't worth the paper it's signed on' Trump 'no longer angry' at Romney because of Supreme Court stance MORE and British Prime Minister Boris Johnson last year, during which a U.S.-U.K. Special Relationship Economic Working Group was established to promote collaboration on economic growth.

America and our allies must lead the world in shaping the development of cutting edge AI technologies and protecting against authoritarianism and repression, U.S. Chief Technology Officer Michael Kratsios said in a statement Friday. We are proud to join our special partner and ally, the United Kingdom, to advance AI innovation for the well-being of our citizens, in line with shared democratic values.

Alok Sharma, a member of Parliament and the U.K.s secretary of State for Business, Energy, and Industrial Strategy, tweeted his support on Friday after signing the AI declaration on behalf of the U.K.

I look forward to collaborating with our US partners on #AI and advancing our shared vision to harness the benefits of this technology for all, Sharma tweeted.

The move follows increasing efforts by the Trump administration to ramp up investment in AI and quantum computing.

The administration announced in August that it would funnel more than $1 billion over the next five years into funding new research institutes focused on AI and quantum computing development.

These funds were in addition to a $75 million investment into establishing three quantum computing centers at major U.S. universities, which OSTP and the National Science Foundation (NSF) announced in July.

Capitol Hill has also zeroed in on AI and quantum computing.

A bipartisan group of lawmakers led by Senate Minority Leader Charles SchumerChuck SchumerPelosi slams Trump executive order on pre-existing conditions: It 'isn't worth the paper it's signed on' 3 reasons why Biden is misreading the politics of court packing Cruz blocks amended resolution honoring Ginsburg over language about her dying wish MORE (D-N.Y.) introduced legislation earlier this year that would appropriate $100 million to a new NSF Directorate of Technology in order to fund investment into AI, quantum, robotics, cybersecurity and other technological issues. Bipartisan members of the Senate Commerce, Science and Transportation Committee also introduced legislation this year to enhance investment in technology research and development.

On Friday, House Science, Space and Technology Committee ranking member Frank LucasFrank Dean LucasOVERNIGHT ENERGY: House passes sweeping clean energy bill | Pebble Mine CEO resigns over secretly recorded comments about government officials | Corporations roll out climate goals amid growing pressure to deliver House passes sweeping clean energy bill OVERNIGHT ENERGY: California seeks to sell only electric cars by 2035 | EPA threatens to close New York City office after Trump threats to 'anarchist' cities | House energy package sparks criticism from left and right MORE (R-Okla.) and Rep. Jerry McNerneyGerlad (Jerry) Mark McNerneyHillicon Valley: FBI chief says Russia is trying to interfere in election to undermine Biden | Treasury Dept. sanctions Iranian government-backed hackers Lawmakers call for expanded AI role in education, business to remain competitive The Hill's Morning Report - Sponsored by The Air Line Pilots Association - Pence lauds Harris as 'experienced debater'; Trump, Biden diverge over debate prep MORE (D-Calif.) introduced a bill to enhance the work of the Department of Energy on quantum research and development.

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Trump administration signs AI research and development agreement with the UK | TheHill - The Hill

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Last week, IBM said it will build Quantum Condor, a 1121 qubit quantum computer, by the end of 2023. The company claims the system can control behaviour of atoms to run applications, and generate world-changing materials to transform industries. IBM says its full-stack quantum computer can be deployed via cloud, and that it can be programmed from any part of the world.

The technology company is developing a super-fridge, internally codenamed Goldeneye, to house the computer. The 10-foot-tall and 6-foot-wide refrigerator is being designed for a million-qubit system.

What are Qubits and quantum computers?

Quantum computers process data exponentially faster than personal computers do. They deploy non-intuitive methods, coupled with lots of computing, to solve intractable problems. These machines operate using qubits, similar to bits in personal computers.

The similarity ends there. The way quantum machines solve a problem is very different from how a traditional machine does.

A classical computer tries solving a problem intuitively. If they are given a command, they attempt every possible move, one after another, turning back at dead ends, until they find a solution.

Quantum computers deploy superposition to solve problems. This allows them to exist in multiple states, and test all possible ways at once. And qubits, the fundamental units of data in quantum computing, enables these machines to compute this way.

In regular computers, bits have either 0 or 1 value, and they come in four possible combinations - - 00, 01, 10, 11. Only one combination can exist at a single point of time, which limits processing speed.

But, in quantum machines, two qubits can represent same values, and all four can exist at the same time. This helps these systems to run faster.

This means that n qubits can represent 2n states. So, 2 qubits represent 4 states, 3 qubits 8 states, 4 qubits 16 states, and so on. And now imagine the many states IBMs 1121 qubit system can represent.

An ordinary 64-bit computer would take hundred years to cycle through these combinations. And thats exactly why quantum computers are being built: to solve intractable problems and break-down theories that are practically impossible for classical computers.

To make such large and difficult calculations happen, the qubits need to be linked together in quantum entanglement. This enables qubits at any end of the universe to connect and be manipulated in such a way that not one can be described without referencing the others.

Why are qubits difficult?

One of the key challenges for processing in qubits is the possibility of losing data during transition. Additionally, assembling qubits, writing and reading information from them is a difficult task.

The fundamental units demand special attention, including a perfect isolation and a thermostat set of one hundredth of a degree above absolute zero. Despite strict monitoring, due to their highly sensitive nature, they can lose superposition even from a slightest variation. This makes programming very tricky.

Since quantum computers are programmed using a sequence of logic gates of various kinds, programmes need to run quickly before qubits lose coherence. The combination of superposition and entanglement makes this process a whole lot harder.

Other companies building quantum computers

There has been a lot of interest in quantum computing in recent times. In 2016, IBM put the first quantum computer in the cloud. Google launched Sycamore quantum computer last year, and said it was close to achieving quantum supremacy.

This month, IBM released its 65-qubit IBM Quantum Hummingbird processor to IBM Q Network members, and the company is planning to surpass the 100-qubit milestone with its 127-qubit IBM Quantum Eagle processor next year. It is also planning to roll out a 433-qubit IBM Quantum Osprey system in 2022.

D-Wave systems, a Canada-based quantum computing company, launched its cloud service in India and Australia this year. It gives researchers and developers in these two countries real-time access to its quantum computers.

Honeywell recently outlined its quantum system, and other technology companies like Microsoft and Intel are also chasing commercialisation.

The ongoing experiments and analysis speak volumes on how tech companies are viewing quantum computers as the next big breakthrough in computing.

Quantum computers will likely deliver tremendous speed, and will help in solving problems related to optimisation in defence, finance, and other industries.

IBM views the 1000-qubit mark as the point from where the commercialisation of quantum computers can take off.

Excerpt from:
IBM plans to build a 1121 qubit system. What does this technology mean? - The Hindu

India has been a frontrunner when it comes to implementing new-age technology such as AI, machine learning and quantum technologies. In fact, Union Budget 2020 saw an allocation of INR 8,000 crore towards the development of technologies such as Quantum Cryptography and Quantum Communication.

Further building on quantum technology, and with a vision to drive disruptive innovations across multiple sectors with AI and quantum technology, Bengaluru-based Archeron Group is providing cutting-edge solutions for multiple industries.

Analytics India Magazine got in touch with the founder of Archeron Group to understand the tech behind it. Founded in 2015 by Aviruk Chakraborty, Archeron Group was established with a vision to drive disruptive innovations across multiple sectors that can help transform the world for the better.

The company is co-headquartered in Abu Dhabi and San Francisco. It has a state-of-the-art Global Development and Delivery Centre (GDDC) in Bengaluru. It holds strategic importance for the Group and is responsible for creating the entire solution portfolio of the groups which it has been able to take to the Middle East (UAE and KSA), North America, and the European Union.

Archeon extensively integrates AI and quantum computing in its flagship products. Chakraborty explained them as below:

1| Automated and Remote Sensing Agri Platform: This is an Agri analysis platform that uses remote sensing-based technologies to map the yield, the productivity of that field not only for the past 20 years but also to predict the next years yield and productivity.

Chakraborty stated, We have developed a vast array of solutions which include agricultural insurance automation, agriculture loan automation, crop classification and identification, soil analysis, fertilizer and pesticide requirement analysis, disease detection and real-time monitoring of the field, to name a few.

2| Bank/ NBFC automation using AI: The company is building a Quantum AI Bank using quantum technologies and artificial intelligence, which will be completely autonomous in its decision making. According to Chakraborty, the larger parameters of the bank such as risk ratios and macroscopic directives will be set by the board on a quarterly basis which gets translated into algorithmic performance parameters and hence executed for the next quarter.

3| Predictive Diagnostic Platforms: Archeron group has created an integrated national radiology platform using Deep Convolutional Neural Networks, where the radiological plates of all the patients all over the country is analysed and a diagnostic support system is created in which the doctors are given a second opinion on the radiological plates.

4| Quantum Cryptography: The company has designed Quantum Cryptography with a view to strengthen the payments infrastructure in India and make them 100% secure and unhackable. They used three-factor authentication as well as Quantum One Time pad to offer an end to end secure platform.

On being asked how the products are different from others in the market, Chakraborty pointed out that-

The company is using deep neural networks and cutting edge mathematical models such as Q-learning and GAN. They also use Remote Sensing, IoT, and Crispr-Cas9.

Chakraborty said, We are language agnostic developers as we have to not only develop solutions but also integrate them with the existing framework for existing clients. Archeron Group is using C++/ Python for the ML algorithms and prefers to build the ML models from scratch rather than using a pre-trained model.

They also work on the domains of blockchain, satellite imagery analysis, IoT, brain-computer interface, genetic programming for creating synthetic life along with standard machine learning and quantum computing, cryptography and communication frameworks.

Chakraborty said that in the next five years, the focus would be on increasing the adoption of healthcare, banking and agricultural solutions in UAE, India and the USA. The company is also focusing on global implementation of already developed technology and iteratively refining it to make the tech stack better.

A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box. Contact: ambika.choudhury@analyticsindiamag.com

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How This Bangalore Based Startup Is Driving Innovation With Quantum Technology-Based Products - Analytics India Magazine