arXiv:2412.09979 · Physical Review A

Dissipation-induced quantum homogenization for temporal information processing

Alexander Yosifov, Aditya Iyer, Vlatko Vedral

Published Jan 21, 2025• 2 citations

Abstract

Quantum reservoirs have great potential as they utilize the complex real-time dissipative dynamics of quantum systems for information processing and target time-series generation without precise control or fine-tuning of the Hamiltonian parameters. Nonetheless, their realization is challenging as quantum hardware with appropriate dynamics, robustness to noise, and ability to produce target steady states is required. To that end, we propose the disordered quantum homogenizer as an alternative interaction model, and prove it satisfies the necessary and sufficient conditions ( and ) of the reservoir dynamics, necessary for solving machine learning tasks with time-series input data streams. The results indicate that the quantum homogenization protocol, physically implementable as either nuclear magnetic resonance ensemble or a photonic system, can potentially function as a reservoir computer.

DOI: 10.1103/physreva.111.012622

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