Quantum Approximate Optimization Algorithm — The Quantum Approximate Optimization Algorithm uses alternating parameterized operations to search for good solutions to optimization problems. A classical optimizer adjusts the parameters based on measured results. Its performance depends on circuit depth, problem structure, and optimization quality. – Variational Algorithms
Added October 7, 2026
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