Machine learningVariational Algorithm
量子近似优化算法
量子近似优化算法（QAOA）是一种混合量子-经典算法，旨在解决近期量子设备上的组合优化问题。QAOA由Farhi、Goldstone和Gutmann于2014年提出，它将优化问题编码到量子电路中，并利用经典优化来调整电路参数，以期找到最大割（MaxCut）、图着色和调度等问题的近似最优解。
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来源
- Farhi, E., Goldstone, J., Gutmann, S. (2014). A quantum approximate optimization algorithm. arXiv preprint arXiv:1411.4028. DOI: 10.48550/arXiv.1411.4028 ↗
- Zhou, L., Wang, S. T., Choi, S., et al. (2020). Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices. Physical Review X, 10, 021067. DOI: 10.1103/PhysRevX.10.021067 ↗
- Hadfield, S., Wang, Z., O'Gorman, B., et al. (2019). From the Ising model to QAOA: A quantum optimization algorithm from the physicist's perspective. Algorithms, 12, 34. link ↗
如何引用本页
ScholarGate. (2026, June 3). Quantum Approximate Optimization Algorithm (QAOA). ScholarGate. https://scholargate.app/zh/quantum-computing/quantum-approximate-optimization-algorithm
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