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Kvantni algoritam za približnu optimizaciju

Kvantni algoritam za približnu optimizaciju (QAOA) hibridni je kvantno-klasični algoritam namijenjen rješavanju kombinatornih optimizacijskih problema na kvantnim uređajima bliske budućnosti. Predstavljen od strane Farija, Goldstonea i Gutmanna 2014. godine, QAOA kodira optimizacijske probleme u kvantne sklopove i koristi klasičnu optimizaciju za podešavanje parametara sklopa, s ciljem pronalaska približno optimalnih rješenja za probleme poput MaxCut, bojenja grafova i raspoređivanja.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateQuantum Approximate Optimization Algorithm (Quantum Approximate Optimization Algorithm (QAOA)). Preuzeto 2026-06-15 s https://scholargate.app/hr/quantum-computing/quantum-approximate-optimization-algorithm · Skup podataka: https://doi.org/10.5281/zenodo.20539026