Quantum mean-value approximator for hard integer-value problems

نویسندگان

چکیده

Evaluating the expectation of a quantum circuit is classically difficult problem known as mean value (QMV). It used to optimize approximate optimization algorithm and other variational eigensolvers. We show that such an can be improved substantially by using approximation rather than exact expectation. Together with efficient classical sampling algorithms, minimal gate count thus improve efficiency general integer-value problems, shortest vector (SVP) investigated in this work.

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ژورنال

عنوان ژورنال: Physical review

سال: 2022

ISSN: ['0556-2813', '1538-4497', '1089-490X']

DOI: https://doi.org/10.1103/physreva.105.052419