Mitigating controller noise in quantum gates using optimal control theory
Aviv Aroch, Ronnie Kosloff, Shimshon Kallush

TL;DR
This paper uses optimal control theory to develop strategies that mitigate noise effects in quantum gates, aiming to improve their fidelity despite environmental and control-related disturbances.
Contribution
It introduces a novel application of optimal control with a Markovian noise model to enhance quantum gate fidelity, employing Liouville space formulation and the Krotov algorithm.
Findings
Optimal control solutions reduce gate fidelity loss.
Liouville space formulation improves accuracy.
Krotov algorithm effectively finds control strategies.
Abstract
All quantum systems are subject to noise from the environment or external controls. This noise is a major obstacle to the realization of quantum technology. For example, noise limits the fidelity of quantum gates. Employing optimal control theory, we study the generation of quantum single and two-qubit gates. Specifically, we explore a Markovian model of phase and amplitude noise, leading to the degradation of the gate fidelity. We show that optimal control with such noise models generates control solutions to mitigate the loss of gate fidelity. The problem is formulated in Liouville space employing an extremely accurate numerical solver and the Krotov algorithm for solving the optimal control equations.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography
