A proposed quantum-classical optimizer using amplitude-encoded Boltzmann sampling and adaptive box contraction reports exact minima on benchmarks, but the claimed quantum advantage is not supported by the evidence.
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Quantum Adaptive Search: A Hybrid Quantum-Classical Algorithm for Global Optimization of Multivariate Functions
A proposed quantum-classical optimizer using amplitude-encoded Boltzmann sampling and adaptive box contraction reports exact minima on benchmarks, but the claimed quantum advantage is not supported by the evidence.