Continuous Coherent Quantum Feedback with Time Delays: Tensor Network Solution

In this paper, we develop a novel method to solve problems involving quantum optical systems coupled to coherent quantum feedback loops featuring time delays. Our method is based on exact mappings of such non-Markovian problems to equivalent Markovian driven dissipative quantum many-body problems. In this work, we show that the resulting Markovian quantum many-body problems can be solved (numerically) exactly and efficiently using tensor network methods for a series of paradigmatic examples, consisting of driven quantum systems coupled to waveguides at several distant points. In particular, we show that our method allows solving problems in so far inaccessible regimes, including problems with arbitrary long time delays and arbitrary numbers of excitations in the delay lines. We obtain solutions for the full real-time dynamics as well as the steady state in all these regimes. Finally, motivated by our results, we develop a novel mean-field approach, which allows us to find the solution semianalytically, and we identify parameter regimes where this approximation is in excellent agreement with our tensor network results. Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review X
Published
2024-09-09
DOI
https://doi.org/10.1103/physrevx.14.031043
Citations
5
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
1.69

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article

Continuous Coherent Quantum Feedback with Time Delays: Tensor Network Solution

Hannes Pichler, Kseniia Vodenkova
5 citations
Physical Review X
Quantum many-body systems
1.69
article

Continuous Coherent Quantum Feedback with Time Delays: Tensor Network Solution

Hannes Pichler, Kseniia Vodenkova
article en
5 citations

Abstract

In this paper, we develop a novel method to solve problems involving quantum optical systems coupled to coherent quantum feedback loops featuring time delays. Our method is based on exact mappings of such non-Markovian problems to equivalent Markovian driven dissipative quantum many-body problems. In this work, we show that the resulting Markovian quantum many-body problems can be solved (numerically) exactly and efficiently using tensor network methods for a series of paradigmatic examples, consisting of driven quantum systems coupled to waveguides at several distant points. In particular, we show that our method allows solving problems in so far inaccessible regimes, including problems with arbitrary long time delays and arbitrary numbers of excitations in the delay lines. We obtain solutions for the full real-time dynamics as well as the steady state in all these regimes. Finally, motivated by our results, we develop a novel mean-field approach, which allows us to find the solution semianalytically, and we identify parameter regimes where this approximation is in excellent agreement with our tensor network results. Published by the American Physical Society 2024

Physical Review XVol. 14(3)
Austrian Academy of Sciences (AT), Universität Innsbruck (AT)
Austrian Science Fund, Universität Innsbruck, QuantERA, Horizon 2020 Framework Programme, H2020 European Research Council
Openalex Percentile: Top 16%
Quantum many-body systems
1.69
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