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Bibliographic Details
Main Authors: Benavoli, Alessio, Binder, Felix
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2601.04812
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author Benavoli, Alessio
Binder, Felix
author_facet Benavoli, Alessio
Binder, Felix
contents This work focuses on quantum reservoir computing and, in particular, on quantum Wiener architectures (qWiener), consisting of quantum linear dynamic networks with weak continuous measurements and classical nonlinear static readouts. We provide the first rigorous proof that qWiener systems retain the fading-memory property and universality of classical Wiener architectures, despite quantum constraints on linear dynamics and measurement back-action. Furthermore, we develop a kernel-theoretic interpretation showing that qWiener reservoirs naturally induce deep kernels, providing a principled framework for analysing their expressiveness. We further characterise the simplest qWiener instantiation, consisting of concatenated quantum harmonic oscillators, and show the difference with respect to the classical case. Finally, we empirically evaluate the architecture on standard reservoir computing benchmarks, demonstrating systematic performance gains over prior classical and quantum reservoir computing models.
format Preprint
id arxiv_https___arxiv_org_abs_2601_04812
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantum Wiener architecture for quantum reservoir computing
Benavoli, Alessio
Binder, Felix
Quantum Physics
This work focuses on quantum reservoir computing and, in particular, on quantum Wiener architectures (qWiener), consisting of quantum linear dynamic networks with weak continuous measurements and classical nonlinear static readouts. We provide the first rigorous proof that qWiener systems retain the fading-memory property and universality of classical Wiener architectures, despite quantum constraints on linear dynamics and measurement back-action. Furthermore, we develop a kernel-theoretic interpretation showing that qWiener reservoirs naturally induce deep kernels, providing a principled framework for analysing their expressiveness. We further characterise the simplest qWiener instantiation, consisting of concatenated quantum harmonic oscillators, and show the difference with respect to the classical case. Finally, we empirically evaluate the architecture on standard reservoir computing benchmarks, demonstrating systematic performance gains over prior classical and quantum reservoir computing models.
title Quantum Wiener architecture for quantum reservoir computing
topic Quantum Physics
url https://arxiv.org/abs/2601.04812