Robust Quantum Optimal Control with Trajectory Optimization

نویسندگان

چکیده

The ability to engineer high-fidelity gates on quantum processors in the presence of systematic errors remains primary barrier achieving advantage. Quantum optimal control methods have proven effective experimentally realizing gates, but they require exquisite calibration be performant. We apply robust trajectory optimization techniques suppress gate arising from system parameter uncertainty. propose a derivative-based approach that maintains computational efficiency by using forward-mode differentiation. Additionally, effect depolarization is typically modeled integrating Lindblad master equation, which computationally expensive. employ efficient model and utilize time-optimal achieve depolarization. these fluxonium qubit simulated due uncertainty below ${10}^{\ensuremath{-}7}$ for static deviations order 1%.

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ژورنال

عنوان ژورنال: Physical review applied

سال: 2022

ISSN: ['2331-7043', '2331-7019']

DOI: https://doi.org/10.1103/physrevapplied.17.014036