Predicting open quantum dynamics with data-informed quantum-classical dynamics
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914315174412288 |
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| author | Xie, Pinchen Wang, Ke Mitra, Anupam Zhu, Yuanran Li, Xiantao de Jong, Wibe Albert Yang, Chao |
| author_facet | Xie, Pinchen Wang, Ke Mitra, Anupam Zhu, Yuanran Li, Xiantao de Jong, Wibe Albert Yang, Chao |
| contents | We introduce a data-informed quantum-classical dynamics (DIQCD) approach for predicting the evolution of an open quantum system. The equation of motion in DIQCD is a Lindblad equation with a flexible, time-dependent Hamiltonian that can be optimized to fit sparse and noisy data from local observations of an extensive open quantum system. We demonstrate the accuracy and efficiency of DIQCD for both experimental and simulated quantum devices. We show that DIQCD can predict entanglement dynamics of ultracold molecules (Calcium Fluoride) in optical tweezer arrays. DIQCD also successfully predicts carrier mobility in organic semiconductors (Rubrene) with accuracy comparable to nearly exact numerical methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_17170 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Predicting open quantum dynamics with data-informed quantum-classical dynamics Xie, Pinchen Wang, Ke Mitra, Anupam Zhu, Yuanran Li, Xiantao de Jong, Wibe Albert Yang, Chao Quantum Physics Statistical Mechanics Computational Physics We introduce a data-informed quantum-classical dynamics (DIQCD) approach for predicting the evolution of an open quantum system. The equation of motion in DIQCD is a Lindblad equation with a flexible, time-dependent Hamiltonian that can be optimized to fit sparse and noisy data from local observations of an extensive open quantum system. We demonstrate the accuracy and efficiency of DIQCD for both experimental and simulated quantum devices. We show that DIQCD can predict entanglement dynamics of ultracold molecules (Calcium Fluoride) in optical tweezer arrays. DIQCD also successfully predicts carrier mobility in organic semiconductors (Rubrene) with accuracy comparable to nearly exact numerical methods. |
| title | Predicting open quantum dynamics with data-informed quantum-classical dynamics |
| topic | Quantum Physics Statistical Mechanics Computational Physics |
| url | https://arxiv.org/abs/2508.17170 |