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Algorithm ya Quantum Approximate Optimization

Algorithm ya Quantum Approximate Optimization (QAOA) ni algorithm ya mseto ya quantum-classical iliyoundwa kutatua matatizo ya optimization ya combinatorial kwenye vifaa vya quantum vya karibu. Imeanzishwa na Farhi, Goldstone, na Gutmann mnamo 2014, QAOA huweka matatizo ya optimization kwenye nyaya za quantum na hutumia optimization ya classical kurekebisha vigezo vya mzunguko, ikilenga kupata suluhisho za karibu na bora kwa matatizo kama MaxCut, kuchorea grafu, na ratiba.

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Vyanzo

  1. Farhi, E., Goldstone, J., Gutmann, S. (2014). A quantum approximate optimization algorithm. arXiv preprint arXiv:1411.4028. DOI: 10.48550/arXiv.1411.4028
  2. 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
  3. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Quantum Approximate Optimization Algorithm (QAOA). ScholarGate. https://scholargate.app/sw/quantum-computing/quantum-approximate-optimization-algorithm

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Imerejelewa na

ScholarGateQuantum Approximate Optimization Algorithm (Quantum Approximate Optimization Algorithm (QAOA)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/quantum-computing/quantum-approximate-optimization-algorithm · Seti ya data: https://doi.org/10.5281/zenodo.20539026