Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning

The authors describe an alternative to digital quantum computation that uses natural quantum dynamics for information processing. Q00exu00exa00exn00ext00exu00exm r00exe00exs00exe00exr00exv00exo00exi00exr c00exo00exm00exp00exu00ext00exi00exn00exg does not require fine tuning of parameters, is robust against noise, and is based on existing devices. Simulations suggest that with this approach, a system of just 5 to 7 qubits is as powerful as a recurrent neural network with hundreds of nodes. This framework for artificial intelligence powered by quantum physics enables t00exe00exm00exp00exo00exr00exa00exl machine-learning tasks, such as natural language processing and predicting the stock market.