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arXiv · 2403.01024

Reservoir Computing Using Measurement-Controlled Quantum Dynamics

A. H. Abbas·Ivan S. Maksymov
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Abstract

Physical reservoir computing (RC) is a machine learning algorithm that employs the dynamics of a physical system to forecast highly nonlinear and chaotic phenomena. In this paper, we introduce a quantum RC system that employs the dynamics of a probed atom in a cavity. The atom experiences coherent driving at a particular rate, leading to a measurement-controlled quantum evolution. The proposed quantum reservoir can make fast and reliable forecasts using a small number of artificial neurons compared with the traditional RC algorithm. We theoretically validate the operation of the reservoir, demonstrating its potential to be used in error-tolerant applications, where approximate computing approaches may be used to make feasible forecasts in conditions of limited computational and energy resources.

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A. H. Abbas, Ivan S. Maksymov. 2024-03-01. Reservoir Computing Using Measurement-Controlled Quantum Dynamics. https://arxiv.org/abs/2403.01024

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