Japan unveils world's most advanced quantum–classical hybrid computing system
Japan now hosts the world's most advanced quantum–classical hybrid setup, pairing IBM's cutting-edge quantum system with one of Earth's fastest supercomputers.
On Tuesday, IBM and Japan's national research lab RIKEN unveiled the first IBM Quantum System Two installed outside the U.S., integrated directly with Fugaku — the country's flagship supercomputer.
This marks a major step toward 'quantum-centric supercomputing,' where quantum and classical systems work together to solve problems neither could tackle alone.
The system, launched in Kobe, features IBM's 156-qubit Heron processor, dubbed as the company's best-performing quantum chip to date. It's quality and speed is 10 times better than the previous generation 127-qubit IBM Quantum Eagle.
With significantly lower error rates and 10x more circuit speed than its predecessor, Heron is now capable of running circuits beyond brute-force simulation on classical machines.
"The future of computing is quantum-centric and with our partners at RIKEN we are taking a big step forward to make this vision a reality," said Jay Gambetta, VP, IBM Quantum.
"The new IBM Quantum System Two powered by our latest Heron processor and connected to Fugaku, will allow scientists and engineers to push the limits of what is possible."
Researchers at RIKEN will use the system to advance quantum-classical hybrid algorithms, starting with challenges in chemistry and materials science. The direct link between Heron and Fugaku will enable low-latency, instruction-level coordination between the two machines — a crucial step in developing practical applications for near-term quantum hardware.
"By combining Fugaku and the IBM Quantum System Two, RIKEN aims to lead Japan into a new era of high-performance computing," said Dr. Mitsuhisa Sato, Division Director of the Quantum-HPC Hybrid Platform Division, RIKEN Center for Computational Science.
"Our mission is to develop and demonstrate practical quantum-HPC hybrid workflows that can be explored by both the scientific community and industry. The connection of these two systems enables us to take critical steps toward realizing this vision."
The two systems are connected via a high-speed network at the instruction level, creating a testbed for quantum-centric supercomputing.
This deep integration allows engineers to build parallelized workloads, develop low-latency quantum–classical communication protocols, and optimize software stacks. By letting each system handle the parts of a task it's best suited for, the setup plays to the strengths of both paradigms.
The installation of IBM Quantum System Two at RIKEN builds on earlier collaborative work between IBM and RIKEN researchers aimed at achieving quantum advantage — the point where quantum systems outperform classical ones in speed, cost, or accuracy.
One such effort, recently featured on the cover of Science Advances, used sample-based quantum diagonalization (SQD) to model the electronic structure of iron sulfides — a complex compound found widely in natural and organic systems. Accurately simulating such materials was once thought to require fault-tolerant quantum computers, but SQD offers a glimpse of what near-term quantum machines can already achieve when tightly integrated with powerful classical infrastructure.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Digital Trends
2 hours ago
- Digital Trends
Wimbledon fans get a smarter way to follow the action
Tennis fans are gearing up for the 2025 Wimbledon Championships, which kick off in London on Monday. Tech giant IBM, which has worked closely with Wimbledon for many years to provide the digital backbone for the tournament's online presence, has given the website and mobile app a makeover in readiness for this year's event. Recommended Videos Of particular note is a brand new feature called Match Chat, an interactive AI assistant that's able to answer fans' questions about the match that they're watching. Match Chat, available on the Wimbledon app (iOS and Android) and on lets you engage with the AI chatbot using either pre-written prompts or your own questions, which could be anything from 'Who has converted more break points in the match?' to 'Who is performing better in the match?', with the system drawing on its AI smarts — and a trove of IBM tennis data — to provide immediate responses. The bespoke AI model powering Match Chat has been trained on the Wimbledon app's editorial style and the language of tennis, which should result in natural responses that are easy for fans to understand. IBM has also enhanced its Likelihood to Win tool, a fun feature that generates match projections from a comprehensive, AI-powered analysis of player statistics, expert opinion, and match momentum. It's very impressive, but to be on the safe side, don't bet your life's savings on one of its forecasts. Usama Al-Qassab of Wimbledon's All England Club said: 'The innovations we have introduced in recent years, driven by generative AI, in conjunction with IBM, allow us to provide more exciting ways for our hundreds of millions of fans around the world to interact with The Championships. This year's new features will encourage the Wimbledon audience to immerse themselves and engage with all the match action like never before.' This year's Wimbledon tournament will see top seeds Jannik Sinner and Carlos Alcaraz headline a highly competitive men's field, with Alcaraz chasing a third consecutive title and Sinner aiming for his first grass-court major. In the women's draw, Australian Open champion Aryna Sabalenka, five-time Grand Slam winner Iga Swiatek, and last year's Wimbledon runner-up Jasmine Paolini will be among the top players battling it out for the singles title.


Business Insider
4 hours ago
- Business Insider
Are AI Agents Doing Their Jobs? IBM's AgentOps Lets You Find Out
As generative AI moves beyond basic demos and starts transforming industries, one important question is becoming critical: How can you be sure that your AI agents are working the way they should? Unlike traditional software, these agents don't just follow step-by-step instructions. Instead, they take initiative, find answers, monitor systems, or even write code on their own. But as more companies begin to rely on these systems, they need clear ways to track and verify that their agents are doing their jobs correctly and consistently. To solve this challenge, IBM (IBM) researchers created something called AgentOps. Confident Investing Starts Here: Since AI agents often behave unpredictably, use flexible logic, and interact with other software and tools, it's difficult to monitor them with traditional methods. As a result, AgentOps acts like a 'dashboard under the hood' that helps developers and engineers understand how the agent makes decisions, what tools it uses, and whether it performs tasks as expected. Furthermore, it tracks changes in behavior, detects issues in real time, and compares current results to past performance. This not only helps improve reliability and accountability, but also allows agents to get better over time. AgentOps is built on OpenTelemetry (OTEL), which is a common software tracking standard. It works with platforms like LangChain, watsonx, and CrewAI to trace agent activities. Interestingly, IBM added an analytics platform on top of OTEL to give developers deep insights by showing exactly how agents behave. It even offers suggestions on how to make them faster or more accurate. These analytics are powered by AI and can recommend ways to improve workflows, as well as cut costs. It is worth noting that AgentOps is already being used in IBM products like Instana and Apptio. What Is the Target Price for IBM? Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on seven Buys, five Holds, and two Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $269.46 per share implies 7.2% downside risk.
Yahoo
8 hours ago
- Yahoo
IBM plans to build first-of-its-kind quantum computer by 2029 after 'solving key bottleneck'
When you buy through links on our articles, Future and its syndication partners may earn a commission. IBM scientists say they have solved the biggest bottleneck in quantum computing and plan to launch the world's first large-scale, fault-tolerant machine by 2029. The new research demonstrates new error-correction techniques that the scientists say will lead to a system 20,000 times more powerful than any quantum computer in existence today. In two new studies uploaded June 2 and June 3 to the preprint arXiv server, the researchers revealed new error mitigation and correction techniques that sufficiently handle these errors and allow for the scaling of hardware nine times more efficiently than previously possible. The new system, called "Starling," will use 200 logical qubits — made up of roughly 10,000 physical qubits. This will be followed by a machine called "Blue Jay," which will use 2,000 logical qubits, in 2033. The new research, which has not yet been peer-reviewed, describes IBM's quantum low-density parity check (LDPC) codes — a novel fault-tolerance paradigm that researchers say will allow quantum computer hardware to scale beyond previous limitations. "The science has been solved" for expanded fault-tolerant quantum computing, Jay Gambetta, IBM vice president of quantum operations, told Live Science. This means that scaling up quantum computers is now just an engineering challenge, rather than a scientific hurdle, Gambetta added. Related: Google's 'Willow' quantum chip has solved a problem that would have taken the best supercomputer a quadrillion times the age of the universe to crack While quantum computers exist today, they're only capable of outpacing classical computer systems (those using binary calculations) on bespoke problems that are designed only to test their potential. One of the largest hurdles to quantum supremacy, or quantum advantage, has been in scaling up quantum processing units (QPUs). As scientists add more qubits to processors, the errors in calculations performed by QPUs add up. This is because qubits are inherently "noisy" and errors occur more frequently than in classical bits. For this reason, research in the field has largely centered on quantum error-correction (QEC). Error correction is a foundational challenge for all computing systems. In classical computers, binary bits can accidentally flip from a one to a zero and vice versa. These errors can compound and render calculations incomplete or cause them to fail entirely. The qubits used to conduct quantum calculations are far more susceptible to errors than their classical counterparts due to the added complexity of quantum mechanics. Unlike binary bits, qubits carry extra "phase information." While this enables them to perform computations using quantum information, it also makes the task of error correction much more difficult. Until now, scientists were unsure exactly how to scale quantum computers from the few hundred qubits used by today's models to the hundreds of millions they theoretically need to make them generally useful. But the development of LDPC and its successful application across existing systems is the catalyst for change, Gambetta said. LDPC codes use a set of checks to detect and correct errors. This results in individual qubits being involved in fewer checks and each check involving fewer qubits than previous paradigms. The key advantage of this approach is a significantly improved "encoding rate," which is the ratio of logical qubits to the physical qubits needed to protect them. By using LDPC codes, IBM aims to dramatically reduce the number of physical qubits required to scale up systems. The new method is about 90% faster at conducting error-mitigation than all previous techniques, based on IBM research. IBM will incorporate this technology into its Loon QPU architecture, which is the successor to the Heron architecture used by its current quantum computers. Starling is expected to be capable of 100 million quantum operations using 200 logical qubits. IBM representatives said this was roughly equivalent to 10,000 physical qubits. Blue Jay will theoretically be capable of 1 billion quantum operations using its 2,000 logical qubits. RELATED STORIES — IBM's newest 156-qubit quantum chip can run 50 times faster than its predecessor — equipping it for scientific research — Scientists just built a massive 1,000-qubit quantum chip, but why are they more excited about one 10 times smaller? — Error-corrected qubits 800 times more reliable after breakthrough, paving the way for 'next level' of quantum computing Current models have about 5,000 gates (analogous to 5,000 quantum operations) using 156 logical qubits. The leap from 5,000 operations to 100 million will only be possible through technologies like LDPC, IBM representatives said in a statement. Other technologies, including those used by companies like Google, will not scale to the larger sizes needed to reach fault tolerance, they added. To take full advantage of Starling in 2029 and Blue Jay in 2033, IBM needs algorithms and programs built for quantum computers, Gambetta said. To help researchers prepare for future systems, IBM recently launched Qiskit 2.0, an open-source development kit for running quantum circuits using IBM's hardware. "The goal is to move from error mitigation to error correction," Blake Johnson, IBM's quantum engine lead, told Live Science, adding that "quantum computing has grown from a field where researchers are exploring a playground of quantum hardware to a place where we have these utility-scale quantum computing tools available."