OQuPy: A Python package to efficiently simulate non-Markovian open quantum systems with process tensors

• DOI: 10.48550/arxiv.2406.16650
• Publication Date: 2024-06-24
• Authors: Gerald E. Fux; Piper Fowler-Wright; Joel Beckles; Eoin P. Butler; P. R. Eastham; Dominic Gribben; Jonathan Keeling; Dainius Kilda; Peter Kirton; Ewen D. C. Lawrence; Brendon W. Lovett; Eoin O’Neill; Aidan Strathearn; R. Wit
• Keywords: Python

Non-Markovian dynamics arising from the strong coupling of a system to structured environment is essential in many applications quantum mechanics and emerging technologies. Deriving an accurate description general including memory effects however demanding task, prohibitive standard analytical or direct numerical approaches. We present major release our open source software package, OQuPy (Open Quantum System Python), which provides several recently developed methods that address this challenging task. It utilizes process tensor approach systems single map, tensor, captures all possible on system. The representation network form allows exact yet highly efficient non-Markovian (NM-OQS). package (1) compute multi-time correlations coupled multiple environments, (2) optimize control protocols for NM-OQS, (3) simulate interacting chains (4) mean-field ensemble NM-OQS common central Our aim provide easily accessible extensible tool researchers fields such as chemistry, sensing, information.