Learning robust control for generating universal quantum gates
Daoyi Dong, Chengzhi Wu, Chunlin Chen, Bo Qi, Ian R. Petersen and, Franco Nori
TL;DR
This paper introduces a sampling-based learning method to develop robust control pulses that enable universal quantum gates, effectively mitigating noise and uncertainties in practical quantum systems.
Contribution
It presents a novel sampling-based approach for designing robust quantum control pulses, enhancing the reliability of quantum gate implementation under realistic conditions.
Findings
Robust control pulses are insensitive to disturbances and fluctuations.
Numerical results demonstrate improved gate fidelity under noise.
Method enhances practical quantum computation reliability.
Abstract
Constructing a set of universal quantum gates is a fundamental task for quantum computation. The existence of noises, disturbances and fluctuations is unavoidable during the process of implementing quantum gates for most practical quantum systems. This paper employs a sampling-based learning method to find robust control pulses for generating a set of universal quantum gates. Numerical results show that the learned robust control fields are insensitive to disturbances, uncertainties and fluctuations during the process of realizing universal quantum gates.
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