From Krylov Complexity to Observability: Capturing Phase Space Dimension with Applications in Quantum Reservoir Computing

Fuente: arXiv
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Hauptverfasser: Čindrak, Saud, Lüdge, Kathy, Jaurigue, Lina
Format: Preprint
Veröffentlicht: 2025
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author Čindrak, Saud
Lüdge, Kathy
Jaurigue, Lina
author_facet Čindrak, Saud
Lüdge, Kathy
Jaurigue, Lina
contents We demonstrate that time-evolved operators can construct a Krylov space to compute Operator complexity and introduce Krylov observability as a measure of effective phase space dimension in quantum systems. We test Krylov observability in the framework of quantum reservoir computing and show that it closely mirrors information processing capacity, a data-driven expressivity metric, while achieving computation times that are orders of magnitude faster. Our results validate Operator complexity and give the interpretation that data in a quantum reservoir is mapped onto the Krylov space.
format Preprint
id arxiv_https___arxiv_org_abs_2502_12157
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle From Krylov Complexity to Observability: Capturing Phase Space Dimension with Applications in Quantum Reservoir Computing
Čindrak, Saud
Lüdge, Kathy
Jaurigue, Lina
Quantum Physics
We demonstrate that time-evolved operators can construct a Krylov space to compute Operator complexity and introduce Krylov observability as a measure of effective phase space dimension in quantum systems. We test Krylov observability in the framework of quantum reservoir computing and show that it closely mirrors information processing capacity, a data-driven expressivity metric, while achieving computation times that are orders of magnitude faster. Our results validate Operator complexity and give the interpretation that data in a quantum reservoir is mapped onto the Krylov space.
title From Krylov Complexity to Observability: Capturing Phase Space Dimension with Applications in Quantum Reservoir Computing
topic Quantum Physics
url https://arxiv.org/abs/2502.12157