Grover search inspired alternating operator ansatz of quantum approximate optimization algorithm for search problems
نویسندگان
چکیده
Abstract We use the mapping between two computation frameworks, Adiabatic Grover Search (AGS) and Quantum Computing (AQC), to translate search algorithm into AQC regime. then apply Trotterization on schedule-dependent Hamiltonian of AGS obtain values variational parameters in Approximate Optimization Algorithm (QAOA) framework. The goal is carry optimal behavior QAOA framework without iterative machine learning processes.
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ژورنال
عنوان ژورنال: Quantum Information Processing
سال: 2023
ISSN: ['1573-1332', '1570-0755']
DOI: https://doi.org/10.1007/s11128-023-03968-5