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• W3200960482 abstract "Variational quantum algorithms (VQAs) that estimate values of widely used physical quantities such as the rank, quantum entropies, the Bures fidelity and the quantum Fisher information of mixed quantum states are developed. In addition, variations of these VQAs are also adapted to perform other useful functions such as quantum state learning and approximate fractional inverses. The common theme shared by the proposed algorithms is that their cost functions are all based on minimizing the quantum purity of a quantum state. Strategies to mitigate or avoid the problem of exponentially vanishing cost function gradients are also discussed." @default.
• W3200960482 created "2021-09-27" @default.
• W3200960482 creator A5016381168 @default.
• W3200960482 creator A5073945770 @default.
• W3200960482 date "2021-09-15" @default.
• W3200960482 modified "2023-10-16" @default.
• W3200960482 title "Variational quantum algorithms to estimate rank, quantum entropies, fidelity, and Fisher information via purity minimization" @default.
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• W3200960482 doi "https://doi.org/10.1103/physrevresearch.3.033251" @default.
• W3200960482 hasPublicationYear "2021" @default.
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