Category Archives: Quantum Computing

IBM and the University of Tokyo announced an agreement to partner to advance quantum computing and make it practical for the benefit of industry, science and society.

IBM and theUniversity of Tokyowill form theJapan IBM Quantum Partnership, a broad national partnership framework in which other universities, industry, and government can engage. The partnership will have three tracks of engagement: one focused on the development of quantum applications with industry; another on quantum computing system technology development; and the third focused on advancing the state of quantum science and education.

Under the agreement, anIBM Q System One, owned and operated by IBM, willbe installed in an IBM facility inJapan. It will be the first installation of its kind in the region and only the third in the world followingthe United StatesandGermany. The Q System One will be used to advance research in quantum algorithms, applications and software, with the goal of developing the first practical applications of quantum computing.

IBM and theUniversity of Tokyowill also create a first-of-a-kind quantumsystem technology center for the development of hardware components and technologies that will be used in next generation quantum computers. The center will include a laboratory facility to develop and test novel hardware components for quantum computing, including advanced cryogenic and microwave test capabilities.

IBM and theUniversity of Tokyowill also directly collaborateon foundational research topics important to the advancement of quantum computing, and establish a collaboration space on the University campus to engage students, faculty, and industry researchers with seminars, workshops, and events.

Developed byresearchers and engineers fromIBM Researchand Systems, the IBM Q System One is optimized for the quality, stability, reliability, and reproducibility of multi-qubit operations. IBM established theIBM Q Network, a community of Fortune 500 companies, startups, academic institutions and research labs working with IBM to advance quantum computing and explore practical applications for business and science.

Advances in quantum computing could open the door to future scientific discoveries such as new medicines and materials, improvements in the optimization of supply chains, and new ways to model financial data to better manage and reduce risk.

TheUniversity of Tokyowill lead theJapan IBM Quantum Partnership and bring academic excellence from universities and prominent research associations together with large-scale industry, small and medium enterprises, startups as well as industrial associations from diverse market sectors. A high priority will be placed on building quantum programming as well as application and technology development skills and expertise.

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IBM And University Of Tokyo Launch Quantum Computing Initiative For Japan - E3zine.com

Something to look forward to: Some of the biggest problems that need solving in the enterprise world require sifting through vast amounts of data and finding the best possible solution given a number of factors and requirements, some of which are at times unknown. For years, quantum computing has been touted as the most promising jump in computational speed for certain kind of problems, but Toshiba says revisiting classical algorithms helped it develop a new one that can leverage existing silicon-based hardware to get a faster result.

Toshiba's announcement this week claims a new algorithm it's been perfecting for years is capable of analyzing market data much more quickly and efficiently than those used in some of the world's fastest supercomputers.

The algorithm is called the "Simulated Bifurcation Algorithm," and is supposedly good enough to be used in finding accurate approximate solutions for large-scale combinatorial optimization problems. In simpler terms, it can come up with a solution out of many possible ones for a particularly complex problem.

According to its inventor, Hayato Goto, it draws inspiration from the way quantum computers can efficiently comb through many possibilities. Work on SBA started in 2015, and Goto noticed that adding new inputs to a complex system with 100,000 variables makes it easy to solve it in a matter of seconds with a relatively small computational cost.

This essentially means that Toshiba's new algorithm could be used on standard desktop computers. To give you an idea how important this development is, Toshiba demonstrated last year that SBA can get highly accurate solutions for an optimization problem with 2,000 connected variables in 50 microseconds, or 10 times faster than laser-based quantum computers.

SBA is also highly scalable, meaning it can be made to work on clusters of CPUs or FPGAs, all thanks to the contributions of Kosuke Tatsumura, another one of Toshiba's senior researchers that specializes in semiconductors.

Companies like Microsoft, Google, IBM, and many others are racing to be the first with a truly viable quantum commercial system, but so far their approaches have produced limited results that live inside their labs.

Meanwhile, scientists like Goto and Kosuke are going back to the roots by exploring ways to improve on classical algorithms. Toshiba hopes to use SBA to optimize financial operations like currency trading and rapid-fire portfolio adjustments, but this could very well be used to calculate efficient routes for delivery services and molecular precision drug development.

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Toshiba says it created an algorithm that beats quantum computers using standard hardware - TechSpot

Several companies are working to advance the technology, according to a new report.

The market for quantum networking is projected to reach $5.5 billion by 2025, according to a new report from Inside Quantum Technology (IQT).

While all computing systems rely on the ability to store and manipulate information in individual bits, quantum computers "leverage quantum mechanical phenomena to manipulate information" and to do so requires the use of quantum bits, or qubits, according to IBM.

SEE:Quantum computing: An insider's guide (TechRepublic)

Quantum computing is seen as the panacea for solving the problems computers are not equipped to handle now.

"For problems above a certain size and complexity, we don't have enough computational power on earth to tackle them,'' IBM said. This requires a new kind of computing, and this is where quantum comes in.

IQT says that quantum networking revenue comes primarily from quantum key distribution (QK), quantum cloud computing, and quantum sensor networks. Eventually, these strands will merge into a Quantum Internet, the report said.

Cloud access to quantum computers is core to the business models of many leading quantum computer companiessuch as IBM, Microsoft and Rigettias well as several leading academic institutions, according to the report.

Microsoft, for instance, designed a special programming language for quantum computers, called Q#, and released a Quantum Development Kit to help programmers create new applications, according to CBInsights.

One of Google's quantum computing projects involves working with NASA to apply the tech's optimization abilities to space travel.

The Quantum Internet network will have the same "geographical breadth of coverage as today's internet," the IQT report stated.

It will provide a powerful platform for communications among quantum computers and other quantum devices, the report said.

And will enable a quantum version of the Internet of Things. "Finally, quantum networks can be the most secure networks ever built completely invulnerable if constructed properly," the report said.

The report, "Quantum Networks: A Ten-Year Forecast and Opportunity Analysis," forecasts demand for quantum network equipment, software and services in both volume and value terms.

"The time has come when the rapidly developing quantum technology industry needs to quantify the opportunities coming out of quantum networking," said Lawrence Gasman, president of Inside Quantum Technology, in a statement.

Quantum Key Distribution (QKD) adds unbreakable coding of key distribution to public key encryption, making it virtually invulnerable, according to the report.

QKD is the first significant revenue source to come from the emerging Quantum Internet and will create almost $150 million in revenue in 2020, the report said.

QKD's early success is due to potential usersbig financial and government organizationshave an immediate need for 100% secure encryption, the IQT report stated.

By 2025, IQT projects that revenue from "quantum clouds" are expected to exceed $2 billion.

Although some large research and government organizations are buying quantum computers for on-premise use, the high cost of the machines coupled with the immaturity of the technology means that the majority of quantum users are accessing quantum through clouds, the report explained.

Quantum sensor networks promise enhanced navigation and positioning and more sensitive medical imaging modalities, among other use cases, the report said.

"This is a very diverse area in terms of both the range of applications and the maturity of the technology."

However, by 2025 revenue from quantum sensors is expected to reach about $1.2 billion.

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Quantum networking projected to be $5.5 billion market in 2025 - TechRepublic

A new research centre with the potential to revolutionise computing, communication, sensing and imaging technologies is set to be launched by the University of Sheffield this week (22 January 2020).

The Sheffield Quantum Centre, which will be officially opened by Lord Jim ONeill, Chair of Chatham House and University of Sheffield alumnus, is bringing together more than 70 of the Universitys leading scientists and engineers to develop new quantum technologies.

Quantum technologies are a broad range of new materials, devices and information technology protocols in physics and engineering. They promise unprecedented capabilities and performance by exploiting phenomena that cannot be explained by classical physics.

Quantum technologies could lead to the development of more secure communications technologies and computers that can solve problems far beyond the capabilities of existing computers.

Research into quantum technologies is a high priority for the UK and many countries around the world. The UK government has invested heavily in quantum research as part of a national programme and has committed 1 billion in funding over 10 years.

Led by the Universitys Department of Physics and Astronomy, Department of Electronic and Electrical Engineering and Department of Computer Science, the Sheffield Quantum Centre will join a group of northern universities that are playing a significant role in the development of quantum technologies.

The University of Sheffield has a strong presence in quantum research with world leading capabilities in crystal growth, nanometre scale device fabrication and device physics research. A spin-out company has already been formed to help commercialise research, with another in preparation.

Professor Maurice Skolnick, Director of the Sheffield Quantum Centre, said: The University of Sheffield already has very considerable strengths in the highly topical area of quantum science and technology. I have strong expectation that the newly formed centre will bring together these diverse strengths to maximise their impact, both internally and more widely across UK universities and funding bodies.

During the opening ceremony, the Sheffield Quantum Centre will also launch its new 2.1 million Quantum Technology Capital equipment.

Funded by the Engineering and Physical Sciences Research Council (EPSRC), the equipment is a molecular beam epitaxy cluster tool designed to grow very high quality wafers of semiconductor materials types of materials that have numerous everyday applications such as in mobile phones and lasers that drive the internet.

The semiconductor materials also have many new quantum applications which researchers are focusing on developing.

Professor Jon Heffernan from the Universitys Department of Electronic and Electrical Engineering, added: The University of Sheffield has a 40-year history of pioneering developments in semiconductor science and technology and is host to the National Epitaxy Facility. With the addition of this new quantum technologies equipment I am confident our new research centre will lead to many new and exciting technological opportunities that can exploit the strange but powerful concepts from quantum science.

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University of Sheffield launches Quantum centre to develop the technologies of tomorrow - Quantaneo, the Quantum Computing Source

Deltec Bank, Quantum Computing can help institutions speed up their transactional activities while making sense of assets that typically seem incongruent.

Technologies based on quantum theory are coming to the financial sector. It is not an if, but a when for banks to begin using this option to evolve current business practices.

Companies like JPMorgan Chase and Barclays have over two years of experience working with IBMs quantum computing technology. The goal of this work is to optimize portfolios for investors, but several additional benefits could come into the industry as banks learn more about it.

Benefits of Quantum Computing in Banking

Quantum computing stayed in the world of academia until recent years when technology developers opened trial opportunities. The banking sector was one of the first to start experimenting with what might be possible.

Their efforts have led to the development of four positive outcomes that can occur because of the faster processing power that quantum computing offers.

1. Big Data Analytics

The high-powered processing capabilities of this technology make it possible for banks to optimize their big data. According to Deltec Bank, Quantum Computing can help institutions speed up their transactional activities while making sense of assets that typically seem incongruent.

2. Portfolio Analysis

Quantum computing permits high-frequency trading activities because it can appraise assets and analyze portfolios to determine individual needs. The creation of algorithms built on the full capabilities of this technology can mine more information to find new pathways to analysis and implementation.

3. Customer Service Improvements

This technology gives banks more access to artificial intelligence and machine learning opportunities. The data collected by institutions can improve customer service by focusing on consumer engagement, risk analysis, and product development. There will be more information available to develop customized financial products that meet individual needs while staying connected to core utilities.

4. Improved Security

The results of quantum computing in banking will create the next generation of encryption and safeguarding efforts to protect data. Robust measures that include encrypted individual identification keys and instant detection of anomalies can work to remove fraudulent transactions.

Privately Funded Research is Changing the Banking Industry

Although some firms are working with IBM and other major tech developers to bring quantum computing to the banking sector, it is private money that funds most of the innovations.

An example of this effort comes from Rigetti Computing. This company offers a product called Forest, which is a downloadable SDK that is useful in the writing and testing of programs using quantum technologies.

1QB Information Technologies in Canada has an SDK that offers the necessary tools to develop and test applications on quantum computers.

How the world approaches banking and finance could be very different in the future because of quantum computing. This technology might not solve every problem the industry faces today, but it can certainly put a significant dent in those issues.

Disclaimer: The author of this text, Robin Trehan, has an Undergraduate degree in economics, Masters in international business and finance and MBA in electronic business. Trehan is Senior VP at Deltec International http://www.deltecbank.com. The views, thoughts, and opinions expressed in this text are solely the views of the author, and not necessarily reflecting the views of Deltec International Group, its subsidiaries and/or employees.

About Deltec Bank

Headquartered in The Bahamas, Deltec is an independent financial services group that delivers bespoke solutions to meet clients unique needs. The Deltec group of companies includes Deltec Bank & Trust Limited, Deltec Fund Services Limited, and Deltec Investment Advisers Limited, Deltec Securities Ltd. and Long Cay Captive Management

Media ContactCompany Name: Deltec International GroupContact Person: Media ManagerEmail: Send EmailPhone: 242 302 4100Country: BahamasWebsite: https://www.deltecbank.com/

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Deltec Bank, Bahamas says the Impact of Quantum Computing in Banking will be huge - Press Release - Digital Journal

Having led a Bitcoin mining firm for over two years, I've come to realize the importance of computing power. Computing power connects the real (chip energy) and virtual (algorithm) dimensions of our world. Under the condition that the ownership of the assets remains unchanged, computing power is an intangible asset that can be used and circulated. It is a commercialized technical service and a consumption investment. This is a remarkable innovation for mankind, and it is an upgrade for the digital economy.

2020 marks the birth year of the computing power infrastructure. Our world is at the beginning of a new economic and technological cycle. We have entered the digital economic civilization. This wave of technology is driven by the combination of AI, 5G, quantum computing, big data and blockchain. People have started realizing that in the age of the digital economy, computing power is the most important and innovative form of productivity.

Computing power is not just technical but also economic innovation. It's a small breakthrough at the fundamental level with impact that will be immeasurable. And people have finally seen the value of the bottom layer through the 10 years of crypto mining evolution.

However, there are two major problems faced by the entire technological landscape: First is insufficient computing power. Second is the dominance of centralized computing power, which creates a monopoly and gives rise to manipulation problems and poor data security.

How does more computing power help?

Artificial Intelligence

Mining Bitcoin has allowed my company to build the foundation of computing infrastructure, so we are planning to eventually expand into AI computing. This experience has further shown me the importance of working toward developing more computing power if tech leaders want to continue creating innovative technologies.

Consider this: For an AI system to recognize someone's voice or identify an animal or a human being, it first needs to process millions of audio, video or image samples. It then learns to differentiate between two different pitches of voices or to differentiate faces based on various facial features. To reach that level of precision, an AI model needs to be fed a tremendous amount of data.

It is only possible to do that if we have powerful computers that can process millions of data points every single second. The more the computing power, the faster we can feed the data to train the AI system, resulting in a shorter span for the AI to reach near-perfection, i.e., human-level intelligence.

The computing power required by AI has been doubling roughly every three and a half months since 2012. The need to build better AI has made it mandatory to keep up with this requirement for more computing power. Tech companies are leaving no stone unturned to rise to this demand.

It is almost as if computing power is now an asset into which investors and organizations are pouring millions of dollars. They are constantly testing and modifying their best chips to produce more productive versions of them. The results of this investment are regularly seen in the form of advanced, more compact chips capable of producing higher computing power while consuming lesser energy.

For new technological breakthroughs, computing power itself has become the new "production material" and "energy." Computing power is the fuel of our technologically advanced society. I've observed it is driving the development in various technological landscapes, such as AI, graphics computing, 5G and cryptocurrency.

Cryptocurrency Mining

Similar to AI, the decentralized digital economy sector also relies on high computing power. Transactions of cryptocurrencies, such as Bitcoin, are validated through a decentralized process called "mining." Mining requires miners across the world to deploy powerful computers to find the solution or the hash to a cryptographic puzzle that proves the legitimacy of each transaction requested on the blockchain.

The bad news, however, is that the reward to mine Bitcoin is halved almost every four years. This means that following May 20, 2020 the next halving date miners who mine Bitcoin would receive half the reward per block compared to what they do now. Two primary factors that compensate for the halving of rewards are an increase in the price of Bitcoin and advanced chips with high computing power.

Miners run not one but multiple high-end graphics processing units to mine Bitcoin, which is an electricity-intensive process. The only way to keep mining profitably is to invest in better chips that produce more computing power with lower electricity consumption. This helps miners process more hashes per second (i.e., the hashrate) to get to the right hash and attain the mining reward.

So far, mining chip producers have delivered the promise of more efficient chips leading to an increase in the mining hashrate from 50 exahashes per second to 90 exahashes per second in the past six months. Per the reports, the efficiency of the latest chips combined with increased Bitcoin prices has helped keep the mining business highly profitable since the previous halving.

High computing power has become an addiction we humans are not getting rid of in the foreseeable future. With our growing fondness for faster computer applications and more humanlike AI, it's likely that we demand faster and more perfect versions of the systems we use today. A viable way to fulfill this would be to produce more computing power.

The two biggest challenges that lie in our way are producing clean electricity at lower costs and developing chips that have a lower electricity-consumption-to-computing-power-production ratio. The core of industrial production competition today lies in the cost of producing electricity. Low energy prices enable us to provide stable services. For example, there is an abundance of hydro-electric power in southwest China, and cooperative data centers are located there so they can harness the hydropower.

If we could make low-cost, clean energy available everywhere, we'd cut the cost of producing computing power. When this energy is used by power-efficient computing chips, the total cost drops even more and high computing power becomes highly affordable.

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The Need For Computing Power In 2020 And Beyond - Forbes