Predicting open quantum dynamics with data-informed quantum-classical dynamics

ORAL

Abstract

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.

*P.X. was supported by the Alvarez Fellowship of Lawrence Berkeley National Lab under contract No. DE-AC02-05CH11231.  K.W. and X.L. were supported by the NSF Grants No. DMS-2111221 and No. CCF-2312456.  C.Y. and Y.Z. were supported by the U.S. Department of Energy, Office of Science, Accelerated Research in Quantum Computing Centers, Quantum Utility through Advanced Computational Quantum Algorithms, grant no. DE-SC0025572. A. M. and W.A.dJ. were supported  by the U.S. Department of Energy under Contract No. DE- AC02-05CH11231 Office of Science, Accelerated Research in Quantum Computing Centers, FAR-QC. Calculations were performed on the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.

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Publication: Xie, P., Wang, K., Mitra, A., Zhu, Y., Li, X., de Jong, W. A., & Yang, C. (2025). Predict open quantum dynamics with data-informed quantum-classical dynamics. arXiv preprint arXiv:2508.17170.

Presenters

  • Pinchen Xie

    • Lawrence Berkeley National Lab

Authors

  • Pinchen Xie

    • Lawrence Berkeley National Lab

  • Ke Wang

    • University of Michigan

  • Anupam Mitra

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab

  • Yuanran Zhu

    • Lawrence Berkeley National Laboratory

  • Xiantao Li

    • Pennsylvania State University

  • Wibe A De Jong

    • Lawrence Berkeley National Laboratory

  • Chao Yang

    • Lawrence Berkeley Lab
    • Lawrence Berkeley National Lab