The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

IonQ today laid out its five-year roadmap for trapped ion quantum computers. The company plans to deploy rack-mounted modular quantum computers small enough to be networked together in a datacenter by ...

This ETF is a diversified way to bet on the future of quantum computing and AI without picking a single winner.

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...

Kenneth Merz, Ph.D., of Cleveland Clinic's Center for Computational Life Sciences, and a research team are testing quantum computing's abilities in chemistry through integrating machine learning and ...

One of the fields where it can be used effectively is healthcare including drug discovery and personalized medicine.

The truth is less dramatic. There are three ways that AI and quantum computers overlap: first, in the problems they try to solve; second, in the way each can be used to build the other; and third, in ...

The Defiance Quantum ETF offers diversified exposure to quantum computing, AI chips, and machine learning, tracking the BlueStar Quantum Computing and Machine Learning Index. QTUM has demonstrated ...

Thomas Mulligan explores how the integration of quantum computing and machine learning will revolutionize autonomous ...