Optimal quantum control via genetic algorithms for quantum state engineering in driven-resonator mediated networks
Articolo
Data di Pubblicazione:
2023
Citazione:
Optimal quantum control via genetic algorithms for quantum state engineering in driven-resonator mediated networks / J. Brown, M. Paternostro, A. Ferraro. - In: QUANTUM SCIENCE AND TECHNOLOGY. - ISSN 2058-9565. - 8:2(2023), pp. 025004.1-025004.15. [10.1088/2058-9565/acb2f2]
Abstract:
We employ a machine learning-enabled approach to quantum state engineering based on evolutionary algorithms. In particular, we focus on superconducting platforms and consider a network of qubits-encoded in the states of artificial atoms with no direct coupling-interacting via a common single-mode driven microwave resonator. The qubit-resonator couplings are assumed to be in the resonant regime and tunable in time. A genetic algorithm is used in order to find the functional time-dependence of the couplings that optimise the fidelity between the evolved state and a variety of targets, including three-qubit GHZ and Dicke states and four-qubit graph states. We observe high quantum fidelities (above 0.96 in the worst case setting of a system of effective dimension 96), fast preparation times, and resilience to noise, despite the algorithm being trained in the ideal noise-free setting. These results show that the genetic algorithms represent an effective approach to control quantum systems of large dimensions.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
optimal quantum control; state engineering; evolutionary strategies; entanglement generation;
Elenco autori:
J. Brown, M. Paternostro, A. Ferraro
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