Quantum physics exponentially improves some types of machine learning

Quantum techniques outperform classical when learning about quantum systems

Part of Google's Sycamore quantum computer

Google’s Sycamore quantum computer, cooled in a cryostat (shown), revealed in new experiments that certain types of machine learning problems get a massive leg up from quantum physics.

Eric Lucero/Google, Inc.

Machine learning can get a boost from quantum physics.

On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the June 10 Science.