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

Area of Science:

• Quantum Mechanics
• Computational Physics
• Quantum Information Science

Background:

• Non-Markovian dynamics are crucial for quantum mechanics and emerging technologies.
• Accurately describing quantum dynamics with memory effects is computationally challenging.
• Existing analytical and numerical methods are often insufficient for complex systems.

Purpose of the Study:

• To present a major release of the OQuPy (Open Quantum System in Python) software package.
• To provide researchers with advanced numerical methods for simulating non-Markovian quantum dynamics.
• To facilitate research in quantum chemistry, sensing, and information.

Main Methods:

• Utilizes the process tensor approach to open quantum systems (OQS).
• Employs tensor network representations for efficient description of the process tensor.
• Implements novel numerical methods for simulating complex quantum dynamics.

Main Results:

• OQuPy enables exact and efficient simulation of non-Markovian open quantum systems (NM-OQS).
• The package computes dynamics and correlations for systems coupled to single/multiple environments.
• It supports optimization of control protocols and simulation of interacting NM-OQS chains.

Conclusions:

• OQuPy provides an accessible and extensible tool for studying non-Markovian quantum dynamics.
• The software aids in understanding quantum systems in structured environments.
• It advances research in quantum chemistry, sensing, and information processing.