Neural quantum states for emitter dynamics in waveguide QED

Quantum emitters coupled to one-dimensional waveguides constitute a paradigmatic quantum-optical platform for exploring collective phenomena in open quantum many-body systems. For appropriately spaced emitters, they realize the Dicke model, whose characteristic permutation symmetry allows for efficient exact solutions featuring superradiance. When the emitters are arbitrarily spaced, however, this symmetry is lost and general analytical solutions are no longer available. In this work, we introduce a numerical method to study the dynamics of such systems by extending the time-dependent neural quantum state (t-NQS) framework to open quantum systems. We benchmark our approach across a range of waveguide QED settings and compare its performance with tensor-network calculations. Our results demonstrate that the t-NQS approach is competitive with other numerical methods and highlight the potential of t-NQSs for studying open quantum many-body systems out of equilibrium.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2026-04-20
DOI
https://doi.org/10.1103/qccj-6vyt
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00

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article

Neural quantum states for emitter dynamics in waveguide QED

Anonymous
Physical review. A/Physical review, A
Quantum Information and Cryptography
article

Neural quantum states for emitter dynamics in waveguide QED

Anonymous
article en

Abstract

Quantum emitters coupled to one-dimensional waveguides constitute a paradigmatic quantum-optical platform for exploring collective phenomena in open quantum many-body systems. For appropriately spaced emitters, they realize the Dicke model, whose characteristic permutation symmetry allows for efficient exact solutions featuring superradiance. When the emitters are arbitrarily spaced, however, this symmetry is lost and general analytical solutions are no longer available. In this work, we introduce a numerical method to study the dynamics of such systems by extending the time-dependent neural quantum state (t-NQS) framework to open quantum systems. We benchmark our approach across a range of waveguide QED settings and compare its performance with tensor-network calculations. Our results demonstrate that the t-NQS approach is competitive with other numerical methods and highlight the potential of t-NQSs for studying open quantum many-body systems out of equilibrium.

Physical review. A/Physical review, AVol. 113(5)
Universität Innsbruck (AT), Ghent University Hospital (BE), Munich Center for Quantum Science and Technology (DE), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft, Austrian Science Fund, Ludwig-Maximilians-Universität München, Universität Innsbruck, European Research Council
Affordable and clean energy
Openalex Percentile: Top 21%
Quantum Information and Cryptography
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