Researchers from Tohoku University and the Massachusetts Institute of Technology (MIT) have unveiled a new AI tool for high-quality optical spectra with the same accuracy as quantum simulations, but working a million times faster, potentially accelerating the development of photovoltaic and quantum materials.

In a new paper published in Physical Review Research, Tohoku University's Dr. Le Bin Ho explores the effectiveness of the squeezing technique in enhancing the precision of measurements in quantum systems with multiple factors. The analysis provides theoretical and numerical insights, aiding in the identification of mechanisms for achieving maximum precision in these intricate measurements.

Most atoms are made from positively charged protons, neutral neutrons and negatively charged electrons. Positronium is an exotic atom composed of a single negative electron and a positively charged antimatter positron. It is naturally very short-lived, but researchers including those from the University of Tokyo successfully cooled and slowed down samples of positronium using carefully tuned lasers. They hope this research will help others explore exotic forms of matter, and that such research might unlock the secrets of antimatter.

In work published in Science Advances, Hayato Goto from the RIKEN Center for Quantum Computing in Japan has proposed a new quantum error correction approach using what he calls “many-hypercube codes.” This approach, which turns out to have an elegant geometry, could help realize extremely efficient error corrections and contribute to highly parallel methods that will allow fault-tolerant quantum computing, the next stage in the evolution of quantum computers.

In work published in Science Advances, Hayato Goto from the RIKEN Center for Quantum Computing in Japan has proposed a new quantum error correction approach using what he calls “many-hypercube codes.” This approach, which turns out to have an elegant geometry, could help realize extremely efficient error corrections and contribute to highly parallel methods that will allow fault-tolerant quantum computing, the next stage in the evolution of quantum computers.

Researchers have fabricated a quasi-one-dimensional van der Waals zirconium telluride thin film, which is a form of a substance that has long promised advances in quantum computing, nano-electronics and other advanced technologies. Until now, it has stumped scientists who have tried to manufacture it in large-scale quantities.

D-Wave Quantum and NTT DOCOMO today announced a quantum optimization pilot that resulted in demonstrable mobile network performance improvements. Using D-Wave’s annealing quantum computing solutions, DOCOMO found that it can reduce congestion at base stations by decreasing paging signals during peak calling times by 15%, potentially leading to increased efficiencies and lowered infrastructure costs.

Now, Lingxiao Wang of the RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) and colleagues in the United Kingdom and Germany have shown that one such approach, known as stochastic quantization, corresponds to another statistical technique used in deep learning called generative diffusion.

The propagation of information can speed up over time in systems of certain quantum particles, a theoretical analysis by RIKEN physicists has revealed.

Strangeworks to become the first international reseller of NEC quantum-inspired solutions. Company also announces plans to open a Tokyo office.