Stabilizing steady-state properties of open quantum systems with parameter engineering

Realistic quantum systems are affected by environmental loss, which is often seen as detrimental for applications in quantum technologies. Alternatively, weak coupling to an environment can aid in stabilizing highly entangled and mixed states, but determining optimal system-environment parameters can be challenging. Here, we describe a technique to optimize parameters for generating desired nonequilibrium steady states (NESSs) in driven-dissipative quantum systems governed by the Lindblad equation. We apply this approach to predict highly entangled and mixed NESSs in Ising, Kitaev, and Dicke models in several quantum phases.

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Publication Details

Journal
Physical Review Research
Published
2025-04-15
DOI
https://doi.org/10.1103/physrevresearch.7.023057
Citations
1
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
2.48

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article

Stabilizing steady-state properties of open quantum systems with parameter engineering

Anthony W. Schlimgen, Kade Head-Marsden, Koray Aydoğan
1 citations
Physical Review Research
Quantum Information and Cryptography
2.48
article

Stabilizing steady-state properties of open quantum systems with parameter engineering

Anthony W. Schlimgen, Kade Head-Marsden, Koray Aydoğan
article en
1 citations

Abstract

Realistic quantum systems are affected by environmental loss, which is often seen as detrimental for applications in quantum technologies. Alternatively, weak coupling to an environment can aid in stabilizing highly entangled and mixed states, but determining optimal system-environment parameters can be challenging. Here, we describe a technique to optimize parameters for generating desired nonequilibrium steady states (NESSs) in driven-dissipative quantum systems governed by the Lindblad equation. We apply this approach to predict highly entangled and mixed NESSs in Ising, Kitaev, and Dicke models in several quantum phases.

Physical Review ResearchVol. 7(2)
University of Minnesota System (US)
National Science Foundation, University of Minnesota, Materials Research Science and Engineering Center, Harvard University, Minnesota Supercomputing Institute, University of Minnesota, Division of Materials Research
Openalex Percentile: Top 11%
Quantum Information and Cryptography
2.48
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