Researchers from the University of Osaka have developed a fast computational framework that predicts the optical performance of quantum color centers without being restricted to a specific host material. By replacing computationally intensive calculations with simple theoretical formulas and procedures, the method enables rapid screening of promising quantum materials spanning ultraviolet to telecommunication wavelengths.

A modelling study finds that banks form interbank networks by balancing the benefits of sharing liquidity risk against incentives to rely on other banks' reserves. As networks grow, risk-sharing can initially improve expected profits, but free-riding can later reduce them. The findings suggest that relatively small networks may be most efficient and offer insights into “too-big-to-fail” and “too-interconnected-to-fail” risks.

In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy and resource efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function, but have not yet succeeded in creating functional, low-memory solutions that work in real-world scenarios. Published in Neuromorphic Computing & Engineering, a new fly brain-inspired algorithm developed by researchers at the Okinawa Institute of Science and Technology (OIST) demonstrates promise for achieving practical applications under realistic constraints. 

Institute for Molecular Science (IMS), National Institutes of Natural Sciences, announced on Aug. 24 that Japan's first full-stack neutral-atom quantum computer "Shunkai," developed by a research team led by Professor Kenji Ohmori, is now operational.