Using commercially available technology and innovative methods, researchers at NBI have pushed the limits of how fast you can detect changes in the sensitive quantum states in the qubit. Their work allows researchers to follow rapid changes in qubit performance that were previously invisible.

Four New York University faculty have been awarded fellowships from the Alfred P. Sloan Foundation: Danique Jeurissen, an assistant professor of neural science, and Marvin Parasram, an assistant professor of chemistry, as well as Florian Schäfer and Joseph Tassarotti, assistant professors in NYU’s Courant Institute School of Mathematics, Computing, and Data Science.

The National Institute of Information and Communications Technology (NICT) developed a hybrid signal processing method that integrates an annealing-based quantum computer with classical computing for next-generation mobile communication systems. By implementing this method into a base station, simultaneous communications with 10 devices were successfully demonstrated through outdoor experiments, addressing the massive connectivity requirements anticipated for the 6G era. The proposed approach utilizes quantum annealing to efficiently solve the combinatorial optimization problem arising in signal detection under multi-antenna and multi-carrier transmission. This result represents a significant step toward realizing large-scale machine-to-machine communications in future 6G networks, including applications involving drones, robots, and XR devices.

Research from The University of Osaka highlights a new model of a gyroscopic wave energy converter. The device was shown to be capable of absorbing up to half of incoming wave energy across a wide range of frequencies, meaning it could achieve the theoretical maximum efficiency. These results provide important design insights for more efficient and adaptable wave energy technologies.

The race to develop a virtual scientist — an AI creation that conducts every stage of research, from idea to publication — has consumed researchers, start-up founders, and tech juggernauts alike.

It has also illuminated fundamental philosophical questions about the process of doing science. Is the scientific method really the best approach to learning about the world?

A new paper in Collective Intelligence applies the scientific method to itself, finding that some common strategies that scientists consider gold standards for designing experiments perform worse than random choice. In other words: random exploration may produce better theories than carefully-planned experiments.