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Kvantne ligikaudne optimeerimisalgoritm

Kvantne ligikaudne optimeerimisalgoritm (QAOA) on hübriidne kvant-klassikaline algoritm, mis on loodud kombinatoorsete optimeerimisprobleemide lahendamiseks lähiaja kvantseadmetel. Farhi, Goldstone'i ja Gutmanni poolt 2014. aastal tutvustatud QAOA kodeerib optimeerimisprobleemid kvantskeemidesse ja kasutab klassikalist optimeerimist skeemiparameetrite häälestamiseks, eesmärgiga leida ligikaudselt optimaalseid lahendeid probleemidele nagu MaxCut, graafide värvimine ja ajastamine.

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Allikad

  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

Kuidas sellele lehele viidata

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

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Sellele viitavad

ScholarGateQuantum Approximate Optimization Algorithm (Quantum Approximate Optimization Algorithm (QAOA)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/quantum-computing/quantum-approximate-optimization-algorithm · Andmestik: https://doi.org/10.5281/zenodo.20539026