Reservoir Computing Using Measurement-Controlled Quantum Dynamics

• URL: http://arxiv.org/abs/2403.01024v1
• Date: Fri, 1 Mar 2024 22:59:41 GMT
• Title: Reservoir Computing Using Measurement-Controlled Quantum Dynamics
• Authors: A.H.Abbas and Ivan S.Maksymov
• Abstract summary: We introduce a quantum RC system that employs the dynamics of a probed atom in a cavity. The proposed quantum reservoir can make fast and reliable forecasts using a small number of artificial neurons.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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