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LONDON, June 5, 2024 Q-CTRL today announced newly published results that demonstrate a boost of more than 4X in the size of an optimization problem that can be accurately solved, and show for the first time that a utility-scale IBM quantum computer can outperform competitive annealer and trapped ion technologies. The recent results solidify Q-CTRLs position at the forefront of the industry and reset expectations for when and how quantum advantage may arrive.

Quantum optimization is one of the most promising quantum computing applications with the potential to deliver major enhancements to critical problems in transport, logistics, machine learning, and financial fraud detection. McKinsey suggests that quantum applications in logistics alone are worth over $200-500B/y by 2035 if the quantum sector can successfully solve them.

Previous third-party benchmark quantum optimization experiments have indicated that, despite their promise, gate-based quantum computers have struggled to live up to their potential because of hardware errors. In previous tests of optimization algorithms, the outputs of the gate-based quantum computers were little different than random outputs or provided modest benefits under limited circumstances.

As a result, an alternative architecture known as a quantum annealer was believed and shown in experiments to be the preferred choice for exploring industrially relevant optimization problems. Todays quantum computers were thought to be far away from being able to solve quantum optimization problems that matter to industry.

Q-CTRLs recent results upend this broadly accepted industry narrative by addressing the error challenge. Their methods combine innovations in the problems hardware execution with the companys performance-management infrastructure software run on IBMs utility-scale quantum computers. This combination delivered improved performance previously limited by errors with no changes to the hardware.

Q-CTRLs results on IBMs hardware enable quantum optimization algorithms to more consistently find the correct solution to a range of challenging optimization problems at larger scales than ever before. The results show that this combination could practically outperform published results from both trapped-ion devices and annealers by large margins for some problems. Not only can users now solve important problems that were previously out of reach, the dramatic boost in the likelihood of finding the correct solution translates directly into cost savings for users as fewer attempts are required to return the correct solution.

To bring useful quantum computing to the world we need to both solve the problem of building a quantum computer and discover more practical algorithms, said Jay Gambetta, IBM Fellow and VP of IBM Quantum. At IBM we are committed to the first, with our development roadmap. For the second, I am excited to see Q-CTRL taking an important step to deliver practical solutions to industry-relevant optimization problems. Their software solution with an improved QAOA algorithm combined with our utility-scale quantum computers shows that quantum advantage for optimization problems is much closer than we originally thought.

It has traditionally been difficult for anyone, even specialists, to take full advantage of whats possible with utility-scale machines, said Q-CTRL CEO and Founder Prof. Michael J. Biercuk. These new results reset expectations of whats achievable with todays machines, unambiguously demonstrating that we can now correctly solve industrially relevant optimization problems that have previously been out of reach for quantum computers. Theres a new line of sight to potential quantum advantage in quantum optimization, and best of all, this capability is accessible to anyone without the need to be a quantum expert.

This result will be welcome news for those seeking early quantum advantage were finally working with a potentially useful number of qubits, said David Shaw, Chief Quantum Analyst at Global Quantum Intelligence. We can expect IBM and others to push further on underlying hardware fidelity, but crucially midstack infrastructure software is also making a bigger than expected contribution for algorithm-specific error suppression and mitigation.

Performance management tools like those provided by Q-CTRL on IBM hardware are essential to hardware, algorithm, and application developers to address the noise challenge collaboratively and unlock the potential of quantum computing, said Julian van Velzen, CTIO & Head of Capgeminis Quantum Lab. As demonstrated by this work, effectively utilising such tools can elevate the performance of the hardware to a whole new level and bring a potential quantum advantage years closer.

The achievements are detailed in thetechnical paperpublished ahead of The Economists Commercialising Quantum Global event on June 5th and 6th, 2024, where these breakthroughs will be showcased publicly for the first time. Any user can get started with Q-CTRLs performance-enhancementsoftwareand an account on IBM Quantums cloud platform to validate the results and achieve true value at utility scale.

About Q-CTRL

Q-CTRLs quantum control infrastructure software for R&D professionals and quantum computing end users delivers the highest performance error-correcting and suppressing techniques globally and provides a unique capability accelerating the pathway to the first useful quantum computers and quantum sensors. Q-CTRL operates a globally leading quantum sensing division focused on software-level innovation for strategic capability. Q-CTRL also has developed Black Opal, an edtech platform that enables users to quickly learn quantum computing. Founded by Michael J. Biercuk in 2017, Q-CTRL has pioneered the quantum infrastructure software segment and has become the leading product-focused software company in the broader quantum sector. Q-CTRL has been an inaugural member of the IBM Quantum Network startup program since 2018, and its performance management software now runs natively on IBM quantum computers. The company has international headquarters in Sydney, Los Angeles, Berlin, and Oxford.

Source: Q-CTRL

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Q-CTRL's New Results with IBM Hardware Mark Progress in Quantum Optimization - HPCwire

IBM (US), Microsoft (US), Google (US), AWS (US), Baidu (China), Rigetti Computing (US), Xanadu (Canada), Oxford Quantum Circuits (UK), IonQ (US), and Zapata Computing (US).

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By vertical, research, and academia to account for the largest market size during the forecast period.

Quantum computing is a research area combing quantum physics and computer science. Researchers from academia and the quantum computing field are expected to work together in the coming years to speed up fundamental research. Additionally, several use cases of cloud-based quantum computing exist in research and academia. Teachers can use cloud-based quantum computing to help students better understand quantum mechanics and test quantum algorithms. Scientists and researchers can use cloud-based quantum resources to test quantum information theories and compare architectures. Various partnerships took place in the cloud-based quantum computing market. In May 2021, IBM announced that it partnered with 11 top-tier academic institutions, including the IISc and IIT Kharagpur, to allow over-the-cloud access to its systems to accelerate advanced training and research in quantum computing.

By service, professional services to grow at a higher CAGR during the forecast period.

Professional services are typically offered on-demand or are project-based. They provide various services, including digital transformation, business strategy, management consulting, data architecture and visualization, UX/UI design, and more. An organization might choose professional services in consulting, cloud migration, deployment, and advanced troubleshooting. Consulting services are provided by consultants and industry experts that assist clients in recognizing new business values by implementing cloud-based quantum computing technology. They also offer customized roadmaps to help clients in adopting the solutions. For instance, IBM offers consulting services, along with quantum computers and QCaaS. 1QBit provides consulting services to customers to solve large-scale and complicated computational problems using complex algorithms and software development tools. These complex algorithms and software development tools use classical methods, quantum computers, and quantum annealing hardware.

By region, North America accounts for the largest market size during the forecast period.

North America is one of the most advanced regions regarding security technology adoption and infrastructure. It is experiencing a rise in the use of technologies such as artificial intelligence(AI) and cloud-based applications. This region is a key market for cloud-based quantum computing software & services as it is home to several key players, such as IBM, Microsoft, Google, and AWS. Several standards and regulations also govern the cloud-based quantum computing market in the North American region, specially in countries like US and Canada. The implementation of such privacy laws has prompted organizations to adopt cloud-based quantum computing solutions. Additionally, in recent years, the region witnessed several partnerships and initiatives between organizations and governments concerning cloud-based quantum computing offerings.

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Unique Features in the Cloud-based Quantum Computing Market

Platforms hosted in the cloud make quantum computing resources more accessible to anyone. Users are spared from managing intricate infrastructure or making costly hardware investments. This makes it possible for a larger spectrum of businesses, including startups and research institutes, to test and utilize the capabilities of quantum computing.

Quantum computing resources are accessible on demand through cloud platforms. The ability to scale consumption up or down to suit individual needs frees users from having to make a fixed hardware investment. This adaptability is especially useful for jobs with different processing requirements.

The initial expenses associated with buying and maintaining quantum gear are removed with cloud-based access. Quantum computing is more affordable because users only pay for the resources they really utilize, particularly for sporadic or experimental use cases.

Teams that are located in different places can work together on quantum computing projects thanks to cloud platforms. The seamless sharing of data and access to the same quantum resources by researchers and developers promotes creativity and quickens advancement.

Cloud platforms frequently interface with current classical computing frameworks and technologies. This enables users to create quantum algorithms and applications by utilizing their current workflows and skill sets.

Major Highlights of the Cloud-based Quantum Computing Market

Although the technology is still in its early phases of development, there are a wide range of possible applications. There are a ton of opportunities for creativity and discovery in a variety of fields during this "nascent" stage.

To make quantum computing more accessible to a larger range of consumers, cloud providers are aggressively creating user-friendly tools and interfaces. This emphasis on usability is essential for wider adoption.

Prominent IT firms, academic organizations, and startups are working together to create and implement cloud-based quantum computing solutions. These collaborations promote quicker development and broader market penetration.

Cloud service companies are customizing their products to fit the demands of many sectors, including finance, materials science, and medicines. This personalization contributes to realizing quantum computing's full promise for practical uses.

Numerous governments are funding R&D projects because they understand the strategic significance of quantum computing. This support from the government offers a solid basis for market expansion.

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Top Companies in the Cloud-based Quantum Computing Market

Major players in this market are based in North America and Asia Pacific. IBM (US), Microsoft (US), Google (US), AWS (US), Baidu (China), and Huawei (China) are among a few leading players operating in the cloud-based quantum computing market. These players have adopted various growth strategies to strengthen their position in the market. These include product launches, contracts, partnerships, mergers and acquisitions, and product development activities to expand their presence in the cloud-based quantum computing market. For instance, in March 2023, T-Systems and IBM announced a partnership in cloud-based quantum computing. T-Systems can now provide its customers with cloud access to IBM's quantum systems, including multiple quantum computers powered by the 127-qubit IBM Eagle processor. Additionally, T-Systems will offer dedicated quantum know-how and training.

Microsoft develops and supports software, services, devices, and solutions, including computer software, consumer electronics, personal computers, and related services, and in this market, it provides Azure Quantum. Azure Quantum offers innovative quantum computing and optimization solutions in a single cloud service. Also, it provides an open ecosystem to write and run code on diverse quantum hardware, offers flexibility to use development tools with support for Cirq and Qiskit, and preparation and refining of solutions to run on scaled quantum computers with the resource estimation tool. It serves verticals including automotive, financial services, healthcare, manufacturing, defense and intelligence, and energy. The Microsoft partner network helps expand the company's presence. The company has a geographical presence in North America, Europe, the Middle East & Africa, Asia Pacific, and Latin America. The company engages in partnerships, collaborations, business expansions, and acquisitions to help expand its global presence. In April 2021, Ally Financial, a fintech company, partnered with Microsoft on Azure Quantum solutions to develop quantum computing skills and explore how new algorithms and future quantum hardware could improve customer experience.

Amazon Web Services (AWS) provides solutions in analytics, application integration, blockchain, business applications, cloud financial management, computing, containers, developer tools, the Internet of Things(IoT), machine learning, and more. The cloud-based quantum computing market; offers Amazon Braket, a fully managed quantum computing service designed to help speed up scientific research and software development for quantum computing. Its use cases include researching quantum computing algorithms, testing quantum hardware, building quantum software, and developing open-source software. The company caters to verticals, including aerospace and satellite, automotive, education, energy, financial services, healthcare, life sciences, manufacturing, power, and utilities. AWS Cloud spans 96 availability zones within 30 geographic regions worldwide, with announced plans for 15 more availability zones and five more AWS regions in Australia, Canada, Israel, New Zealand, and Thailand. AWS has a geographical presence in North America, Europe, Asia Pacific, the Middle East& Africa, and Latin America, thus featuring a network of 1,00,000 partners from more than 150 countries. The company is taking several initiatives in the cloud-based quantum computing market. In April-2021, AWS announced a partnership with the Hebrew University of Jerusalem. Through the AWS Cloud Credit for Research Program, AWS supports independent research using Amazon Braket, which enables research organizations to explore quantum, classical high-performance computing (HPC), and quantum-inspired approaches to problems from the same console.

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Cloud-based Quantum Computing Market Future Scope, Advance Technology, Growing Trends, Demand, Global Size ... - openPR

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Singapore is looking to carve out a global footprint in artificial intelligence (AI) with the release of international standards for large language model (LLM) testing and investments in quantum computing and new data center capacity.

Quantum has the potential to unlock new value, where higher processing capabilities can be harnessed in areas such as simulating complex molecules for drug discovery, said Deputy Prime Minister Heng Swee Keat at last week's Asia Tech x Singapore 2024 summit.

Also: Generative AI may be creating more work than it saves

He added that quantum computing can also have synergies with AI, for example, in improving the efficiency of developing and training advanced AI models. This development, in turn, can further drive innovations in deep learning, natural language processing, and computer vision.

However, there still are challenges to resolve in quantum, including requirements for cryogenic cooling and error correction, Heng said. He noted that researchers worldwide were assessing different approaches to achieve scale and enable quantum computing to be commercially viable.

Also:Rote automation is so last year: AI pushes more intelligence into software development

Singapore wants to address thesechallenges with its National Quantum Strategy, coupled with almost SG$300 million ($221.99 million) in investment. This cash is on top of a previous SG$96.6 million commitmentannounced in 2022. The new investment is earmarked for five years, through to 2030, to boost the country's position as a leading hub in the development and deployment of quantum technologies, Heng said.

This roadmap focuses on four areas, including initiatives in quantum research, such asquantum communications and security and quantum processors, and a scholarship program to produce 100 PhD and 100 master's-level graduates over the next five years, he said.

Efforts are underway for Singapore to buildcapabilities in the design and development of quantum processors. This work will encompass research onqubit technologies, including photonic networks, neutral atoms, and superconducting circuits.

ZDNET understands Singapore's target is to have the first prototype ready in the next three years and scale out production in five years.

The government in 2022 unveiled a three-year initiative to build a quantum-safe network that it hopes will showcase "crypto-agile connectivity" and facilitate trials with both public and private organizations. The initiative also includes a quantum security lab for vulnerability research.

Singapore last week also launched its green data center roadmap to chart "digital sustainability and chart green growth pathways" for such facilities, supporting AI and computing developments.

The country has over 1.4 gigawatts of data center capacity and is home to more than 70 cloud, enterprise, and co-location data centers.

Singapore is aiming to add at least 300 megawatts of additional data center capacity "in the near term" and another 200 megawatts through green energy deployments, said Janil Puthucheary, senior minister of state for the Ministry of Communications and Information, at the summit.

Efforts will be made to enhance efficiency through both hardware and software, Puthucheary said, pointing to technologies that maximize energy efficiency and capacity, and green software tools.

He added that improving data center efficiency is also about greening software, so the carbon emissions of applications can be reduced.

He said the focus will be placed on data centers to accelerate their use of green energy, with the government offering support via grants and incentives to switch to energy-efficient IT equipment. In addition, the Infocomm Media Development Authority (IMDA) will work with PUB to help data centers push their water usage effectiveness (WUE) to 2.0 cubic meters or less per megawatt hour, up from the 2021 median WUE of 2.2 cubic meters.

Also:Agile development can unlock the power of generative AI - here's how

IMDA will jointly develop standards and certifications with industry partners to drive the development and operation of data centers with power usage effectiveness (PUE) of 1.3 or lower.

In addition, the BCA-IMDA Green Mark for data centers will be refreshed by year-end to raise the standards for energy efficiency in data centers. IMDA will also introduce standards for IT equipment energy efficiency and liquid cooling by 2025, to drive the adoption of these technologies in Singapore.

The green data center roadmap outlines plans to reduce energy use for air-cooling by raising operating temperatures via IMDA's tropical DC methodology.

According to the government agency, data centers can achieve 2% to 5% energy savings for every 1C increase in operating temperature.

It also pointed to simulations that have found existing data centers can achieve a 50% reduction in energy consumption of supporting infrastructure, with energy-efficient retrofits and upgrades for key equipment, such as chiller plants and uninterruptible power supplies.

"We aim to uplift all data centers in Singapore to achieve PUE of less than 1.3 at 100% IT load over the next 10 years," IMDA said. "This gives existing data centers sufficient time to plan for upgrades."

The tech industry today emits an estimated 1.5% to 4% of global greenhouse gas emissions, Heng noted, with this figure projected to climb as the use of AI expands alongside the need for data storage and processing.

Also:3 ways to accelerate generative AI implementation and optimization

He said technologies that drive the country's digital economy, such as cloud and AI, fuel demand for powerful and energy-intensive computing.

"Data centers lie at the heart of such activities and require large amounts of energy for processing and cooling. Greening ICT, especially data centers, is therefore crucial in a digital and carbon-constrained world," he said.

"There is a need to balance the economic and social benefits of digital applications with the environmental effects from the resultant emissions," he said, noting that Singapore has committed to a net-zero target by 2050.

"The [green data center] roadmap sets out low-carbon energy sources that data centers can explore, which include bioenergy, fuel cells with carbon capture, low-carbon hydrogen and ammonia for a start," Puthucheary explained. "We welcome proposals from the industry to push boundaries in realizing these pathways in Singapore."

Meanwhile, the country wants to lead the way by releasing standards for large language model (LLM) testing, developed via partnerships with global organizations such as MLCommons, IBM, and Singtel.

Dubbed Project Moonshot, the LLM testing tool provides benchmarking, red-teaming, and testing baselines to help developers and organizations mitigate risks associated with LLM deployment.

Also:Generative AI is the technology that IT feels most pressure to exploit

LLMs without guardrails can reinforce biases and create harmful content, with unintended consequences. "IMDA is seeking to establish guardrails to manage the risks while enabling space for innovation," the government agency said.

"It is important to adopt an agile, test-and-iterate approach to address key risks in model development and use. Project Moonshot provides intuitive results, so testing unveils the quality and safety of a model or application in an easily understood manner, even for a non-technical user."

The testing tool provides a five-tier scoring system where each completed scoring sheet will place the application on a scale. Grade cut-offs can be determined by the author of each of these scoring sheets.

AI Verify Foundation and MLCommons jointly developed the testing LLM benchmarks. The latter is an open-engineering consortium supported by Qualcomm, Google, Intel, and NVIDIA and recognized by the US National Institute of Science and Technology under its AI Safety Consortium. AI Verify Foundation is Singapore's not-for-profit foundation that focuses on developing AI testing tools.

Also:AI business is booming: ChatGPT Enterprise now boasts 600,000+ users

Project Moonshot is currently available as an open beta.

IMDA said it is working with companies such as Anthropic to develop a practical guide to multilingual and multicultural red-teaming for LLMs. The guide is slated for release later this year for global use.

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Singapore looks to boost AI with plans for quantum computing and data centers - ZDNet

TOKYO, June 3, 2024 In support of the development of large-scale superconducting quantum computers, researchers with the National Institute of Advanced Industrial Science and Technology (AIST), one of the largest public research organizations in Japan, in collaboration with Yokohama National University, Tohoku University, and NEC Corporation, proposed and successfully demonstrated a superconducting circuit that can control many qubits at low temperature.

To realize a practical quantum computer, it is necessary to control the state of a huge number of qubits (as many as one million) operating at low temperature. In conventional quantum computers, microwave signals for controlling qubits are generated at room temperature and are individually transmitted to qubits at low temperature via different cables. This results in numerous cables between room and low temperature and limits the number of controllable qubits to approximately 1,000.

In this study, a superconducting circuit that can control multiple qubits via a single cable using microwave multiplexing was successfully demonstrated in proof-of-concept experiments at 4.2 K in liquid helium. This circuit has the potential of increasing the density of microwave signals per cable by approximately 1,000 times, thereby increasing the number of controllable qubits significantly and contributing to the development of large-scale quantum computers.

The above results were published in npj Quantum Information on June 3.

Article Information Journal:npj Quantum Information Title:Microwave-multiplexed qubit controller using adiabatic superconductor logic Authors: Naoki Takeuchi, Taiki Yamae, Taro Yamashita, Tsuyoshi Yamamoto, and Nobuyuki Yoshikawa DOI: 10.1038/s41534-024-00849-2

About NEC Corporation

NEC Corporation has established itself as a leader in the integration of IT and network technologies while promoting the brand statement of Orchestrating a brighter world. NEC enables businesses and communities to adapt to rapid changes taking place in both society and the market as it provides for the social values of safety, security, fairness and efficiency to promote a more sustainable world where everyone has the chance to reach their full potential.

Source: NEC

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NEC Joins Forces to Enhance Qubit Control Within Large-scale Quantum Computer Systems - HPCwire

Chinese scientists are one step closer to a future large-scale quantum computer after building the worlds largest quantum simulation machine based on the trapped-ion technique, praised by one academic journal reviewer as a milestone to be recognised.

The breakthrough was achieved under the leadership of Duan Luming, a quantum physicist renowned for his pioneering research, who returned to China in 2018 after 15 years of teaching in the United States.

Duan received his doctorate in 1998 from the University of Science and Technology of China, the countrys premier institute for quantum research, before joining the University of Michigan in the early 2000s.

Since his return, he has been a full-time professor at Tsinghua Universitys Institute for Interdisciplinary Information Sciences.

Duan and his colleagues, along with several research groups at universities and hi-tech companies around the world, have been chasing the trapped-ion approach to qubits.

Quantum bits, or qubits, are the building blocks of quantum computers, just as bits are in regular computers.

However, qubits are extremely difficult to harness in a controlled and repeatable way because of what is called their hazy nature.

Regular bits can be described as switches that are either on or off. But because uncertainty and probability hold sway in quantum physics, qubits can be both on and off at the same time, and also exist in a variety of in-between states.

Ions, or charged atomic particles, can be trapped and suspended in free space using electromagnetic fields. The qubits are stored in stable electronic states of each ion, and quantum information can be transferred through the collective motion of the ions in a shared trap.

But scalability remains a key challenge for this system.

This is where the trapped-ion approach comes in, as it offers one of the most promising architectures for a scalable, universal quantum computer.

Researchers earlier achieved quantum simulations with up to 61 ions in a one-dimensional crystal. Ion crystals are solids made up of ions bound together in a regular lattice the symmetrical three-dimensional structural arrangements of atoms, ions or molecules inside a solid.

But Duan and his teams quantum simulator was able to achieve the stable trapping and cooling of a two-dimensional crystal of up to 512 ions, in a first for science.

The feat holds great significance for the future of quantum computing, given that scalability is a major hurdle. The teams scaling up of the ions in a stable simulation system is seen as likely to pave the way to building more powerful quantum computers.

The findings of their study were published on Wednesday in the peer-reviewed journal Nature.

This is the largest quantum simulation or computation performed to date in a trapped-ion system, commented one reviewer.

Quantum simulators are devices that actively use quantum effects to answer questions about model systems and, through them, real systems. They are increasingly popular tools in the world of quantum computing for their role in advancing scientific knowledge and developing technologies.

Duan and his team also managed to perform a quantum simulation calculation using 300-ion qubits. They found the computational complexity of 300-ion quantum bits working simultaneously to be astronomical, far exceeding the direct simulation capability of classical computers.

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US-returned Chinese physicist and team achieve world first in quantum computing - South China Morning Post