Neural quantum propagators for driven-dissipative quantum dynamics
Describing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine learning techniques are being applied with some success to simulate the time evolution of individual quantum states, their u...
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| Format: | Article |
| Language: | English |
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American Physical Society
2025-01-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.7.L012013 |
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| author | Jiaji Zhang Carlos L. Benavides-Riveros Lipeng Chen |
| author_facet | Jiaji Zhang Carlos L. Benavides-Riveros Lipeng Chen |
| author_sort | Jiaji Zhang |
| collection | DOAJ |
| description | Describing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine learning techniques are being applied with some success to simulate the time evolution of individual quantum states, their use to approximate time-dependent operators (that can evolve various states) remains largely unexplored. In this work, we develop driven neural quantum propagators (NQP), a universal neural network framework that solves driven-dissipative quantum dynamics by approximating propagators rather than wave functions or density matrices. NQP can handle arbitrary initial quantum states, adapt to various external fields, and simulate long-time dynamics, even when trained on far shorter time windows. Furthermore, by appropriately configuring the external fields, our trained NQP can be transferred to systems governed by different Hamiltonians. We demonstrate the effectiveness of our approach by studying the spin-boson and the three-state transition Gamma models. |
| format | Article |
| id | doaj-art-e74468e2802949d2aa89adc6d312ce4c |
| institution | Kabale University |
| issn | 2643-1564 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj-art-e74468e2802949d2aa89adc6d312ce4c2025-01-21T15:02:14ZengAmerican Physical SocietyPhysical Review Research2643-15642025-01-0171L01201310.1103/PhysRevResearch.7.L012013Neural quantum propagators for driven-dissipative quantum dynamicsJiaji ZhangCarlos L. Benavides-RiverosLipeng ChenDescribing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine learning techniques are being applied with some success to simulate the time evolution of individual quantum states, their use to approximate time-dependent operators (that can evolve various states) remains largely unexplored. In this work, we develop driven neural quantum propagators (NQP), a universal neural network framework that solves driven-dissipative quantum dynamics by approximating propagators rather than wave functions or density matrices. NQP can handle arbitrary initial quantum states, adapt to various external fields, and simulate long-time dynamics, even when trained on far shorter time windows. Furthermore, by appropriately configuring the external fields, our trained NQP can be transferred to systems governed by different Hamiltonians. We demonstrate the effectiveness of our approach by studying the spin-boson and the three-state transition Gamma models.http://doi.org/10.1103/PhysRevResearch.7.L012013 |
| spellingShingle | Jiaji Zhang Carlos L. Benavides-Riveros Lipeng Chen Neural quantum propagators for driven-dissipative quantum dynamics Physical Review Research |
| title | Neural quantum propagators for driven-dissipative quantum dynamics |
| title_full | Neural quantum propagators for driven-dissipative quantum dynamics |
| title_fullStr | Neural quantum propagators for driven-dissipative quantum dynamics |
| title_full_unstemmed | Neural quantum propagators for driven-dissipative quantum dynamics |
| title_short | Neural quantum propagators for driven-dissipative quantum dynamics |
| title_sort | neural quantum propagators for driven dissipative quantum dynamics |
| url | http://doi.org/10.1103/PhysRevResearch.7.L012013 |
| work_keys_str_mv | AT jiajizhang neuralquantumpropagatorsfordrivendissipativequantumdynamics AT carloslbenavidesriveros neuralquantumpropagatorsfordrivendissipativequantumdynamics AT lipengchen neuralquantumpropagatorsfordrivendissipativequantumdynamics |