Quantum Computing

量子退火

Quantum Annealing

A metaheuristic for finding the global minimum of a given objective function over a given set of candidate solutions, inspired by quantum mechanics. / 一种受量子力学启发，用于在给定候选解集中寻找给定目标函数全局最小值的元启发式算法。

Knowledge type: 数学理论
First proposed or discovered
Proposer: Turkey Farm member
Creator: 农场主
Last updated: 2026-11-14 23:06:39

Sub-knowledge points

Ising model / 自然理论 Quantum Approximate Optimization Algorithm / 数学理论Quantum TunnelingSimulated Annealing

Higher-order knowledge points

Quantum Computing / 数学理论Optimization Theory

Main parameters and performance indicators

QUBO: Quadratic Unconstrained Binary Optimization problem formulationHamiltonian: Energy landscape defined by the problemTemperature: Control parameter for quantum tunneling and thermal fluctuations

Open problems

Noise and error correction in near-term quantum devicesScalability to large-scale optimization problemsBenchmarking against classical heuristics

Related literature

ranked by community stars

A quantum-inspired annealing algorithm for cost-efficient sampling and 3D characterization of soil heavy-metal contaminationOpen source

量子退火

Sub-knowledge points

Higher-order knowledge points

Main parameters and performance indicators

Open problems

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