NIMS and its collaborators (IHI Corporation, Kawasaki Heavy Industries, Ltd., Kansai Electric Power Co., Inc., Kobe Steel, Ltd., Electric Power Development Co., Ltd., the Japan Atomic Energy Agency, Mitsubishi Heavy Industries, Ltd. and Elix, Inc.) have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the confidentiality of each organization’s data. This research was published online in Tetsu-to-Hagané on February 6, 2025.

UBC researchers are proposing a solution to a key hurdle in quantum networking: a device that can “translate” microwave to optical signals and vice versa. The technology could serve as a universal translator for quantum computers—enabling them to talk to each other over long distances and converting up to 95 per cent of a signal with virtually no noise. And it all fits on a silicon chip, the same material found in everyday computers.

Researchers have been able to demonstrate a quantum exponential scaling advantage, using two 127-qubit IBM Quantum Eagle processor-powered quantum computers, over the cloud. The paper, “Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem,” was published in APS flagship journal Physical Review X.

Tsinghua University Press (TUP) and American Institute of Mathematical Sciences Press (AIMS) have forged a new collaboration to bring 12 of AIMS's esteemed STM journals to SciOpen.

University at Buffalo researchers have shown that a considerable portion of a human’s roughly 20,000 genes express more like a standard light switch — fully on or fully off.