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Westford, USA, Aug. 30, 2022 (GLOBE NEWSWIRE) -- Quantum computers touted as next big thing in computing. Major reliance on quantum computers could mean we're soon entering a new era of artificial intelligence, ubiquitous sensors, and more efficient drug discovery. While quantum computers are still in the earliest stages of development, growing interest in their capabilities means that they are likely to become a central part of future computing systems. This has created a growing demand for quantum computing market and software, with providers already reporting strong demand from major customers.

The promise of quantum computing is that it can solve complex problems much faster than traditional computers. This is because quantum computers are able to exploit the properties of subatomic particles such as photons, which are able to ferry information around extremely fast. So far, quantum computing market has been witnessing a demand coming mainly for scientific and research purposes.

However, this is set to change soon as there is growing demand for quantum computers market for various applications such as artificial intelligence (AI), machine learning and data analytics. Artificial intelligence (AI) is one application that could benefit greatly from the speed and accuracy of quantum computing. AI relies on algorithms that are trained on large data sets and are able to learn and improve upon their skills with repeated use. However, classical computer databases can take hours or even days to train an AI algorithm.

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Only 4 Countries are Responsible for 86% of Total Funding Since 2001

Quantum computing market is heating up. Companies like Google and IBM are racing to develop the technology, which could one day lead to massive improvements in artificial intelligence and other areas of cybersecurity. As per SkyQuests analysis, $1.9 billion public funding was announced in the second half of the year 2021, which, in turn, took the total global funding to $31 billion from year 2001. It was also observed that most of the private and public funding is coming from the US only, which account for around 49% of the private fundings, which is followed by UK (17%), Canada (14%), and China (6%).

In 2021, the global quantum computing market witnessed an investment of around $3 billion, out of which $1.9 billion came in the second of the year. All this investment is coming from both private and public domain to feast on the upcoming opportunity of generating around $41 billion revenue by the year 2040 at a CAGR of more than 30%. The market is projected to experience a significant surge in the demand for quantum sensing and Quantum communication in the years to come. As a result, investors have started pouring money to take advantage of rapidly expanding field. For instance, in 2021 alone, $1.1 billion out of $3 billion were invested in these two technologies. To be precise, $400 million and $700 million respectively.

SkyQuest has done deep study on public and private investment coming into global quantum computing market. This will help the market participants in understanding who are the major investors, what is their area of interest, what makes them to invest in the technology, investors profile analysis, investment pockets, among others.

IonQ, Rigetti, and D-Wave are Emerging Players in Global Quantum Computing Market

As quantum computing market becomes more mainstream, companies like IonQ, Rigetti and D-Wave are quickly proving they are the top emerging players in the field. IonQ is has been working on developing ionic quantum computer technology for several years now. IonQs flagship product is the IonQ One, which is a single-core quantum computer that can process quantum information.

The IonQ One has already been deployed at a number of institutions around the global quantum computing market including NASA.

Rigetti is another company that has been making significant strides in the development of quantum computing technology. Rigettis flagship product is the Rigetti Quilter, which is a scalable two-qubit quantum computer. The Rigetti Quilter is currently undergoing Phase II testing at NASAs Ames Research Center. D-Wave has also been making significant progress in the development of quantum computing technology. D-Waves flagship product is the D-Wave Two, which is a five-qubit quantum computer. The D-Wave Two was recently deployed at Google physicists to help accelerate the discovery of new phenomena in physics.

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Regetti has secured a total funding of around $298 million through 11 rounds until 2022 in the global quantum computing market. As per our analysis, the company has secured its last funding through post IPO equity. Wherein, Bessemer Venture Partners and Franklin Templeton Investments are the major investor in the company.

As per SkyQuests findings, these three organizations have collectively generated revenue of around $32 million in 2021 with market cap of more than $3 billion. However, at the same time, they are facing heavy loss. For instance, in 2021, they faced collective loss of over $150 million. Our observation also noticed that billions of dollars are poured into building the quantum computers, but most of the market players are not earning much in revenue in terms of ROI.

SkyQuest has published a report on global quantum computing market and have tracked all the current developments, market revenue, companys growth plans and strategies, their ROI, SWOT analysis, and value chain analysis. Apart from this, the provides insights about market dynamics, competitive landscape, market share analysis, opportunities, trends, among others.

Machine Learning Generated Revenue of Over $189 Million in 2021

Today, machine learning is heavily used for training artificial intelligence systems using data. Quantum computing market can help to speed up the process of training these systems by vastly increasing the amount of data that can be processed. This potential advantage of quantum computing is the ability to perform Fast Fourier Transform (FFT) calculations millions of times faster than classical computers. This is important for tasks like image processing and machine learning, which rely on fast FFT algorithms for comparing data sets.

A huge potential of quantum computing market has led to the development of several machine learning applications that use quantum computers. Some of these applications include fraud detection, drug discovery, and speech recognition. As per SkyQuest, fraud detection and drug discovery market were valued at around $25.1 billion and $75 billion, respectively. This represents a huge revenue opportunity for quantum computing market.

This technology has been used for a variety of purposes, including predicting the stock market and automating tasks such as decision making and recommendations. In machine learning, generating revenue is a major challenge through traditional processing. Wherein, traditional computer processing can only handle a small amount of data at a time. This limits how much data can be used in machine learning projects, which in turn limits the accuracy of the predictions made by the ANNs.

Quantum computing solves this problem by allowing computers to perform multiple calculations at the same time. This makes it possible to process vast amounts of data and make accurate predictions. As a result, quantum computing has already begun to revolutionize machine learning market.

SkyQuest has prepared a report on global quantum computing market. The report has segmented the market by application and done in-depth analysis of each application in revenue generation, market forecast, factors responsible for growth, and top players by applications, among others. The report would help to understand the potential of global market by application and understand how other players performing and generating revenue in each segment.

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Top Development in Global Quantum Computing Market

Top Players in Global Quantum Computing Market

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Quantum Computing Market to Expand by 500% by 2028 | 86% of Investments in Quantum Computing Comes from 4 countries - GlobeNewswire

Fujitsu and Japans Riken research institution will team to deliver Japan-made quantum computing starting next April, according to an article on the Nikkei Asia news site.The story states that Fujitsus quantum system is expected to have 64 qubits, more than the 53 qubits in Googles 2019 machine and second to IBMs 127 qubits developed in 2021, Nikkei reported, adding that Fujitsu hopes to deliver a machine with more than 1,000 qubits in 2026.

Last April, Fujitsu and Riken built a base in Saitama, Japan for joint quantum computing development, the Nikkei story stated, with approximately 20 researchers on site. The system is expected to be used for financial forecasting, new materials and medical workloads.

Fujitsu will now use technology and know-how from Riken to become the first Japanese company to build quantum computers, the story said. Like Google and IBM, Fujitsu will adopt a method of computing with a superconductive circuit that is cooled to extremely low temperatures to eliminate electrical resistance.

In other quantum, Chinese AI company Baidu announced last week its first superconducting quantum computer that fully integrates hardware, software, and applications, according to the company.

Baidu also introduced the worlds first all-platform quantum hardware-software integration solution that provides access to various quantum chips via mobile app, PC, and cloud, the company said.

Located at Baidus Quantum Computing Hardware Lab in Beijing, Qian Shi is Baidus first industry-level superconducting quantum computer. Baidu said the system incorporates its hardware platform with Baidus home-grown software stack.

Qian Shi offers high-fidelity 10 quantum bits (qubits) of power, the company said. In addition, Baidu has recently completed the design of a 36-qubit superconducting quantum chip with couplers, which demonstrates promising simulation results across key metrics.

Baidu also highlighted development of Liang Xi, which the company said is the first all-platform quantum hardware-software integration that offers quantum services through private deployment, cloud services, and hardware access. Liang Xi plugs into Qian Shi and other third-party quantum computers, including a 10-qubit superconducting quantum device and a trapped ion quantum device developed by the Chinese Academy of Sciences. Users can visit these quantum computational resources via mobile app, PC, and cloud, Baidu said.

With Qian Shi and Liang Xi, users can create quantum algorithms and use quantum computing power without developing their own quantum hardware, control systems, or programming languages, said Dr. Runyao Duan, Director of the Institute for Quantum Computing at Baidu Research. Baidus innovations make it possible to access quantum computing anytime and anywhere, even via smartphone. Baidus platform is also instantly compatible with a wide range of quantum chips, meaning plug-and-play access is now a reality.

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Fujitsu, Riken Partner to Deliver Quantum Computing in Japan Next Year - High-Performance Computing News Analysis | insideHPC - insideHPC

A new generation of computer technology is on the horizon, which many think will eventually increase the computing power available to humanity by factors of thousands or possibly even millions. If this happens, it could vastly increase the speed at which we can carry out many vital tasks, such as discovering and testing new drugs or understanding the impact of climate change.

Quantum Computing Now And In The Future: Explanation, Applications, and Problems

Quantum computing is already with us in limited form. But the next five to 10 years may see it leap into the mainstream in the same way that classical computers moved from labs and large corporations to businesses of all sizes, as well as homes, in the 1970s and 1980s.

However, as well as big leaps forward in what we are able to do with computers, they also require us to face up to a new set of problems, specifically around the threats they pose to security and encryption. And some people think that, in fact, quantum computers may never be useful at all due to their complexity and the limited amount of tasks at which they have been shown to be superior to classical computer technology.

So, heres my overview of where we currently are and where were hoping to get to with quantum computing, with expert input from my most recent podcast guest, Lawrence Gasman, co-founder and president of Inside Quantum Technology and author of over 300 research reports.

What is quantum computing?

Like everything involving the quantum (sub-atomic) domain, quantum computing isnt the easiest concept to get your head around. Fundamentally, the term describes a new (or future) generation of super-fast computers that process information as qubits (quantum bits) rather than the regular bits ones and zeroes of classical computing.

Classical computers are really just much more sophisticated versions of pocket calculators they are based on electrical circuits and switches that can be either on (one) or off (zero). By stringing lots of these ones and zeroes together, they can store and process any information. However, their speed is always limited due to the fact that large amounts of information need a lot of ones and zeroes to represent it.

Rather than simple ones and zeroes, the qubits of quantum computing can exist in many different states. Due to the strange properties of quantum mechanics, this might mean they can exist as one and zero simultaneously (quantum superposition). They can also exist in any state between one and zero.

As Gasman explains, That means you can process a lot more information on a quantum computer, and that means you can do some problems much faster. And sometimes that really matters sometimes its not whoopee I can do this in two hours instead of two days, its whoopee I can do this in two hours instead of nine million years.

Nine million years sounds like the sort of number that people only use when they are exaggerating, but according to some estimates, quantum computers will operate 158 million times faster than the fastest supercomputers available today.

Theres one important caveat, though currently, quantum computers are only really useful for a fairly narrow set of uses. Dont expect to simply be able to plug a quantum processor into your Macbook and do everything that you can do on it now, but millions of times quicker.

So what can quantum computing do better than classical computing?

The truth is that classical computers can solve all of the problems that quantum computers will solve there hasnt yet been a use case discovered for quantum computers that cant already be done with classical computers.

The problem, Gasman tells me, is that it will take classical computers so long to solve them that anyone who starts looking for the answer today will be long dead!

In particular, they are potentially hugely useful for a set of problems known as optimization problems. The idea is illustrated by imagining a traveling salesman who has to visit a number of towns, in any order but without retracing their steps, and doing it while covering the shortest distance (or in the shortest amount of time) possible. Elementary mathematics can show us that as soon as there are more than a few towns, the number of possible routes becomes incredibly high millions or billions. This means that calculating the distance and time taken for all of them in order to find the fastest can take a huge amount of processing power if we're using classical binary computing.

This has implications for fields as diverse as tracing and routing financial transactions across global financial networks, developing new materials by manipulating physical or genetic properties, or even understanding how changing climate patterns affect the world around us.

Gasman tells me, "The ones that have the most potential are, I'd say, in very large banks but if you're a big corporation and you're giving Goldman Sachs a billion dollars to look after, do you really want them to put it in the hands of some newfangled technology? A certain level of trust will have to be established but all the big banks have their own quantum teams now exploring what can be done in the next five to 10 years.

What are the challenges around quantum computing?

Firstly, there are some pressing physics challenges that need to be solved. Qubits themselves, when existing in a physical state as they need to do to represent data and allow computation to take place, are highly unstable. This means they must be held in a super-cooled environment, even to exist for just a few nanoseconds, in order to be of use. This means that quantum computing is currently very expensive, and only the largest companies and best-funded research organizations can afford to own them.

This means that assessing use cases is an expensive and time-consuming process too. Already one use creating more efficient MRI scans - has proven to be a dead end, Gasman tells me.

Its also been suggested that cosmic rays could pose an obstacle to the widespread adoption of quantum computing. Moreover, the errors caused by the phenomena which can affect even classical computing could be even more impactful on the hyper-sensitive engineering needed to harness qubits on a large scale usefully.

Theres also a critical shortage of people with the skills to develop and work with quantum computers. As Gasman puts it, what you want is someone who is a computer scientist, and a physicist, and an expert on pharmaceuticals or finance the specifics of the disciplines are so different that getting people to talk to each other is quite difficult!

Finally, as well as the challenges around implementing quantum computing, we cant ignore the challenges that the technology will potentially create itself when it is widespread.

The one causing the biggest headaches right now is the threat it poses to encryption. Digital cryptography is used today to secure everything online, as well as all of our communications and information, such as military, commercial and national secrets. It works on the basis that encryption methods are so complex it would take classical computers millions or billions of years to crack them by brute-forcing every possible password or key. However, to quantum computers, doing so could be trivial.

"It's a huge issue," Gasman tells me. If I have something encrypted on my machine and its broken by somebody in nine million years, Im not likely to care that much!

But then it turns out that with a quantum computer, it can be decoded like, now this is a real problem!

"We don't have such a quantum computer, and the estimate of when it might appear is anything from five years to never I think it will happen sooner rather than later.

The problem is currently being taken very seriously by governments as well as corporations, which are both putting resources into developing what is known as "post-quantum encryption" so that, hopefully, all of their deepest secrets won't suddenly be laid bare.

What is in store for the future of quantum computing?

The first developments we are expected to see are likely to mirror those that occurred as classical computers moved from being lab toys or something only the largest corporations could afford in the latter half of the 20th century.

This is likely to follow the format of the transition from mainframes (filling entire buildings) to minicomputers (filling rooms) and eventually to microcomputers that could live on our desks.

This democratization of access to quantum power will lead to new use cases as businesses will be able to put it to the test against their own specific sets of challenges.

Gasman says, "A fifty-thousand dollar computer is something that most medium-sized companies can afford an eight-hundred thousand dollar computer not so much.

Problems where quantum computers will potentially be put to use include monitoring and predicting traffic flow across complex urban environments or even processing the huge amounts of data necessary for artificial intelligence and machine learning. If one day humans are able to model a system as complex as a biological brain paving the way for true AI it almost certainly wont be by using classical computing.

Gasman says, "The exciting thing for me is the breakthroughs that are likely to happen. To mix metaphors, the world is quantum computing's oyster. There are lots of good reasons to be in classical computing, but if you're looking for the massive breakthroughs it aint going to happen. Thats the excitement of quantum computing.

You can click here to watch my webinar with Lawrence Gasman, president, and co-founder of IQT Research, where we take a deeper dive into the future of quantum computing and what it means for the world.

To stay on top of the latest on the latest business and tech trends, make sure to subscribe to my newsletter and have a look at my book Business Trends in Practice, which just won the Business Book of the Year 2022.

You can also follow me on Twitter, LinkedIn, and YouTube. And dont forget to check out my website.

Link:
Quantum Computing Now And In The Future: Explanation, Applications, And Problems - Forbes

BEIJING, Aug. 25, 2022 /PRNewswire/ -- Baidu, Inc. (NASDAQ: BIDU and HKEX: 9888) ("Baidu" or the "Company"), a leading AI company with strong Internet foundation, today announced its first superconducting quantum computer that fully integrates hardware, software, and applications. On top of this, Baidu also introduced the world's first all-platform quantum hardware-software integration solution that provides access to various quantum chips via mobile app, PC, and cloud. Launched at Quantum Create 2022, a quantum developer conference held in Beijing, this new offering paves the way for the long-awaited industrialization of quantum computing.

A revolutionary technology that harnesses the laws of quantum mechanics to solve problems beyond the reach of classical computers, quantum computing is expected to bring ground-breaking transformations in fields like artificial intelligence (AI), computational biology, material simulation, and financial technology. However, a significant gap remains between quantum devices and services.

"Qian Shi"[1], Baidu's industry-level superconducting quantum computer incorporates its hardware platform with Baidu's home-grown software stack[2]. On top of this infrastructure are numerous practical quantum applications, such as quantum algorithms used to design new materials for novel lithium batteries or simulate protein folding.

Qian Shi offers a stable and substantial quantum computing service to the public with high-fidelity 10 quantum bits (qubits) of power. In addition, Baidu has recently completed the design of a 36-qubit superconducting quantum chip with couplers, which demonstrates promising simulation results across key metrics.

As quantum computing continues to experience remarkable progress, a large number of enterprises are exploring how quantum computing will contribute to their real-world businesses. This has led to the development of "Liang Xi"[3], the world's first all-platform quantum hardware-software integration solution that offers versatile quantum services through private deployment, cloud services, and hardware access. Liang Xi is able to plug into Qian Shi and other third-party quantum computers, including a 10-qubit superconducting quantum device and a trapped ion quantum device developed by the Chinese Academy of Sciences. Users can conveniently visit these quantum computational resources via mobile app, PC, and cloud.

"With Qian Shi and Liang Xi, users can create quantum algorithms and use quantum computing power without developing their own quantum hardware, control systems, or programming languages," said Dr. Runyao Duan, Director of the Institute for Quantum Computing at Baidu Research. "Baidu's innovations make it possible to access quantum computing anytime and anywhere, even via smartphone. Baidu's platform is also instantly compatible with a wide range of quantum chips, meaning 'plug-and-play' access is now a reality."

These latest innovations are backed by Baidu Research's Institute for Quantum Computing, whose technological footprint covers a wide range of areas, including quantum algorithms and applications, communications and networks, encryption and security, error correction, architecture, measurement and control, and chip design. Across more than four years of research and development, Baidu has submitted over 200 core technology patent applications in the quantum technology field.

About Institute for Quantum Computing at Baidu Research

The Institute for Quantum Computing at Baidu Research was established in March 2018 by Dr. Runyao Duan, founding director of the Quantum Software and Information Centre at the University of Technology Sydney. With quantum computing playing a crucial role in next-generation computing technology, Baidu aims to integrate quantum technologies into Baidu's core business, with the institute developing towards the goal of becoming a world-leading Quantum Artificial Intelligence (AI) research.

The Institute for Quantum Computing at Baidu Research aims at building full-stack quantum software and hardware solutions, and focuses on the breakthrough in fundamental Quantum research, the construction of autonomous and controllable quantum Infrastructure, the acceleration in practical quantum frontier Applications, and the development of industrial quantum Network, which altogether form Baidu's QIAN strategy. In building an open and sustainable quantum ecosystem, Baidu strives to achieve the vision of a world where "Everyone Can Quantum".

About Baidu

Founded in 2000, Baidu's mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong Internet foundation, trading on the NASDAQ under "BIDU" and HKEX under "9888." One Baidu ADS represents eight Class A ordinary shares.

Note:

1. Qian Shi () means "the origin of all things is found in the heavens" in Chinese.

2. Baidu's quantum software stack includes Quanlse, a cloud-based platform for quantum control, Quantum Leaf, a cloud-native quantum computing platform, QNET, a quantum network toolkit, QEP, a quantum error processing toolkit, and Paddle Quantum, a quantum machine learning platform. Learn more at quantum.baidu.com.

3. Liang Xi ().

Media Contact[emailprotected]

SOURCE Baidu, Inc.

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Baidu Releases Superconducting Quantum Computer and World's First All-Platform Integration Solution, Making Quantum Computing Within Reach - PR...

SAN SEBASTIN, SPAIN, August 26, 2022 Quantum computing company Multiverse Computing today introduced the newest version of Singularity Portfolio Optimization (v 1.2). This release includes the Multiverse Hybrid Solver, designed to combines the strength of classical and quantum computing and is specifically suited to portfolio optimization problems.

The Multiverse Hybrid Solver can optimize large portfolios of thousands of assets, finding the portfolio with the highest returns for a given risk and producing the same quality of results as industry-standard solvers in a significantly shorter amount of time.

According to John Malcolm, Financial Engineer overseeing Singularity Portfolio Optimization at Multiverse, this new release represents the next step in the ongoing evolution of the Singularity Portfolio Optimization Excel plug-in.

This latest version of Singularity provides a quantum-based solution to a simple case portfolio optimization which is competitive against classical approaches currently used in industry, said Malcolm. Exciting new developments on our roadmap will extend the applicability of this product to cover more exotic cases of portfolio optimization which classical approaches struggle with.

The tool is designed to help portfolio managers find the optimal balance between risk and reward among the range of assets under consideration, while adhering to minimum and maximum allocations per asset according to the investors preferences.

The Singularity Portfolio Optimization Excel plug-in now offers three solvers:

This particular tool from Multiverse Computing is designed for large financial institutions, such as banks, hedge funds, pension funds and insurance companies. The generic optimization library that the Portfolio Optimization app is built on top of has much broader applicability to any sector where optimization is important, such as energy, manufacturing, health and life sciences, aerospace, and more.

The Singularity Portfolio Optimization plug-in can be used to build a portfolio from scratch or to improve an existing one. It is useful for developing medium to long-term strategies or for more frequent performance improvements. The newest interface is more streamlined and allows the user to save optimization settings for convenience.

With this latest release, Singularity users also can:

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Multiverse Computing Releases New Version of Singularity SDK for Portfolio Optimization with Quantum - High-Performance Computing News Analysis -...