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• W4311500172 abstract "Developing fast, robust, and accurate methods for optimal control of quantum systems comprising interacting particles is one of the most active areas of current science. Although a valuable repository of algorithms is available for numerical applications in quantum control, the high computational cost is somewhat overlooked. Here, we present a fast and accurate optimal control algorithm for systems of interacting qubits, QOALA (quantum optimal control by adaptive low-cost algorithm), which is predicted to offer <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML overflow=scroll> <mml:mrow> <mml:mi mathvariant=script>O</mml:mi> </mml:mrow> </mml:math> ( M 2 ) speedup for an M -qubit system, compared to the state-of-the-art exact methods, without compromising overall accuracy of the optimal solution. The method is general and compatible with diverse Hamiltonian structures. The proposed approach uses inexpensive low-accuracy approximations of propagators far from the optimum, adaptively switching to higher accuracy, higher-cost propagators when approaching the optimum. In addition, the utilization of analytical Lie algebraic derivatives that do not require computationally expensive matrix exponential brings even better performance." @default.
• W4311500172 created "2022-12-26" @default.
• W4311500172 creator A5038623571 @default.
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• W4311500172 date "2022-12-09" @default.
• W4311500172 modified "2023-09-27" @default.
• W4311500172 title "Adaptive optimal control of entangled qubits" @default.
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• W4311500172 doi "https://doi.org/10.1126/sciadv.abq4244" @default.
• W4311500172 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36475803" @default.
• W4311500172 hasPublicationYear "2022" @default.
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