qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package

Abstract

Realistic modeling of qubit systems including noise and constraints imposed by control hardware is required for performance prediction and control optimization of quantum processors. We introduce qopt, a software framework for simulating qubit dynamics and robust quantum optimal control considering common experimental situations. To this end, we model open and closed qubit systems with a focus on the simulation of realistic noise characteristics and experimental constraints. Specifically, the influence of noise can be calculated using Monte Carlo methods, effective master equations or with the efficient filter function formalism, which enables the investigation and mitigation of auto-correlated noise. In addition, limitations of control electronics including finite bandwidth effects as well as nonlinear transfer functions and drive-dependent noise can be considered. The calculation of gradients based on analytic results is implemented to facilitate the efficient optimization of control pulses. The software easily interfaces with QuTip, is published under an open source license, well-tested and features a detailed documentation.

Open-Source software: https://github.com/qutech/qopt Documentation: https://qopt.readthedocs.io/en/latest/

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• Strategies for enhancing spin-shuttling fidelities in Si/SiGe quantum wells with random-alloy disorder
• Flopping-mode electron dipole spin resonance in the strong-driving regime
• Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
• Comparing planar quantum computing platforms at the quantum speed limit
• Spinsim: a GPU optimized python package for simulating spin-half and spin-one quantum systems
• An automated geometric space curve approach for designing dynamically corrected gates
• Engineering Precise and Robust Effective Hamiltonians