Harnessing disordered quantum dynamics for machine learning.

Quantum computer has an amazing potential of fast information processing.However, realisation of a digital quantum computer is still a challengingproblem requiring highly accurate controls and key application strategies. Herewe propose a novel platform, quantum reservoir computing, to solve these issuessuccessfully by exploiting natural quantum dynamics, which is ubiquitous inlaboratories nowadays, for machine learning. In this framework, nonlineardynamics including classical chaos can be universally emulated in quantumsystems. A number of numerical experiments show that quantum systems consistingof at most seven qubits possess computational capabilities comparable toconventional recurrent neural networks of 500 nodes. This discovery opens up anew paradigm for information processing with artificial intelligence powered byquantum physics.

Link to Full Article: Harnessing disordered quantum dynamics for machine learning.

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