Predicting open quantum dynamics with data-informed quantum-classical dynamics
Quantum Physics
2026-02-10 v2 Statistical Mechanics
Computational Physics
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.
Cite
@article{arxiv.2508.17170,
title = {Predicting open quantum dynamics with data-informed quantum-classical dynamics},
author = {Pinchen Xie and Ke Wang and Anupam Mitra and Yuanran Zhu and Xiantao Li and Wibe Albert de Jong and Chao Yang},
journal= {arXiv preprint arXiv:2508.17170},
year = {2026}
}