An Update on Quantum Near-Term Optimization

Introduction Quantum optimization on noisy intermediate-scale quantum (NISQ) hardware offers a practical pathway to explore potential speedups for combinatorial and real-world optimization problems. Unlike fault-tolerant approaches that await future hardware, near-term methods leverage current devices by combining quantum subroutines with classical processing. This article reviews recent experimental and theoretical advances implemented on actual quantum processors, […]

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