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Trapped Ion Quantum Computing Quantum Simulation

Quantum reservoir networks based on decoherence-free subspaces

arXiv
Authors: V. V. Akshay, M. V. Altaisky, N. E. Kaputkina

Year

2026

Paper ID

68457

Status

Preprint

Abstract Read

~2 min

Abstract Words

82

Citations

0

Abstract

We present numerical simulation of a six-qubit quantum reservoir network with an output implemented on a 5-dimensional decoherence-free subspace (DFS), working as a classifier between entangled and product states of the input quantum system, fed to the reservoir during a finite learning time. Since the dynamics of DFS is not affected by external fluctuations, no cooling is required, and the proposed model seems a promising candidate for future quantum artificial intelligence systems working at room temperatures and free of huge energy consumption.

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  • We present numerical simulation of a six-qubit quantum reservoir network with an output implemented on a 5-dimensional decoherence-free subspace (DFS), working as a classifier...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2605.27427 [2] arXiv https://arxiv.org/abs/2605.27427 [3] Publisher https://arxiv.org/abs/2605.27427

Local Citation Graph (Related-Paper Links)

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External citation index: OpenAlex citation signal • updated 2026-06-07 03:55:39

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