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Toward quantum enhanced coherent Ising machines

The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab at NTT Research, Inc., have jointly published a paper in the journal Quantum Science and Technology. The study involved studying a combinatorial clustering problem, a representative task in unsupervised machine learning.

Together, the two institutions are researching methods to bring to life a large-scale CIM simulation platform using conventional high-performance computing (HPC). This large-scale CIM will be critical to enabling cyber CIMs that will be widely accessible for solving hard NP, NP-complete and NP-hard problems.

The collaboration kicked off in 2023 with Hiroaki Kobayashi, Professor at the GSIS at Tohoku University, acting as the principal investigator for the joint research agreement (JRA), with PHI Lab Director Yoshihisa Yamamoto joining as the NTT Research counterpart to Kobayashi.

Human-AI teamwork uncovers hidden magnetic states in quantum spin liquids

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high-quality data sets for training. So how can researchers harness AI effectively to support their investigations?

In Physical Review Research, scientists describe an approach for working with ML to tackle complex questions in condensed matter physics. Their method tackles hard problems which were previously unsolvable by physicist simulations or by ML algorithms alone.

The researchers were interested in frustrated magnets— in which competing interactions lead to exotic magnetic properties. Studying these materials has helped to advance our understanding of quantum computing and shed light on . However, frustrated magnets are very difficult to simulate, because of the constraints arising from the way magnetic ions interact.

Scientists achieve ‘magic state’ quantum computing breakthrough 20 years in the making — quantum computers can never be truly useful without it

Scientists demonstrate a process called “magic state distillation” in logical qubits for the first time, meaning we can now build quantum computers that are both error-free and more powerful than supercomputers.

‘Reliable quantum computing is here’: Novel approach to error-correction can reduce errors in future systems up to 1,000 times, Microsoft scientists say

Microsoft scientists developed a 4D geometric coding method that reduces errors 1,000-fold in quantum computers.

“They Made It 2,000× More Efficient!”: New Quantum Computer Crushes Supercomputers by Using Less Power and Solving Problems 200× Faster

IN A NUTSHELL 🚀 Nord Quantique introduces a revolutionary bosonic qubit design that integrates error correction directly into its structure. 🌱 The new quantum computers are significantly energy-efficient, using only a fraction of the power required by traditional systems. 🔧 Utilizing multimode encoding, Nord Quantique’s system achieves a 1:1 ratio of physical to logical qubits.

Rabi-like splitting observed under electrical control in artificial magnets

Rabi-like splitting is one of the key concepts in modern quantum technology. Fully understanding it can help us advance our knowledge in quantum information processing. Assistant Professor Aakanksha Sud (Tohoku University), Dr. Kei Yamamoto (JAEA), Professor Shigemi Mizukami (Tohoku University), and collaborators discovered that Rabi-like splitting could be achieved using nonlinear coupling, which remarkably preserves the symmetries of the system. This result opens up various possibilities to deepen our understanding of nonlinear dynamics and coupling phenomena in artificial control.

The findings were published in Physical Review Letters on June 20, 2025.

In , when there is a coupling between two harmonic oscillators with an ideal oscillation , the oscillation frequency splits to two different frequencies in the coupled system. The difference in these two frequencies is referred to as Rabi .

This Simple Laser Trick Could Supercharge Quantum Tech

In a major advance for quantum technology, researchers have discovered a surprisingly simple method to preserve atomic spin coherence using just a single laser beam. Scientists have developed a surprisingly effective technique to preserve atomic information, addressing a major obstacle in the adv

This Forbidden Particle Could Break String Theory

Physicists from the University of Pennsylvania, working with colleagues at Arizona State University, are examining the limitations of a framework that aims to unify the laws of physics throughout the universe. There are two great pillars of thought that don’t quite fit together in physics. The St

Shedding new light on invisible forces: Hidden magnetic clues in everyday metals unlocked

A team of scientists has developed a powerful new way to detect subtle magnetic signals in common metals like copper, gold, and aluminum—using nothing more than light and a clever technique. Their research, recently published in Nature Communications, could pave the way for advances in everything from smartphones to quantum computing.

For over a century, scientists have known that bend in a magnetic field—a phenomenon known as the Hall effect. In like iron, this effect is strong and well understood. But in ordinary, non-magnetic metals like copper or gold, the effect is much weaker.

In theory, a related phenomenon—the optical Hall effect—should help scientists visualize how electrons behave when light and magnetic fields interact. But at , this effect has remained far too subtle to detect. The scientific world knew it was there, but lacked the tools to measure it.