Emulating the behavior of exotic quantum states may give quantum computing a better way of squeezing out troublesome noise and errors.
Chris Edwards From Communications of the ACM | December 1, 2023
Based on machine learning, DeepMind's code now lies at the heart of a variety of protein-structure tools and workflows. It may ultimately be replaced by models...Chris Edwards From Communications of the ACM | May 1, 2023
The overhead of error correction presents a serious challenge to scaling up quantum computing and may produce unexpected winners.
Chris Edwards From Communications of the ACM | January 1, 2023