Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Kvantové odhadování fáze× | Variační kvantový eigensolver× | |
|---|---|---|
| Obor | Kvantové výpočty | Kvantové výpočty |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 1995 | 2014 |
| Tvůrce≠ | Alexei Kitaev | Alberto Peruzzo |
| Typ≠ | Subroutine algorithm | Hybrid quantum-classical algorithm |
| Původní zdroj≠ | Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026. link ↗ | Peruzzo, A., McClean, J., Shadbolt, P., et al. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213. DOI ↗ |
| Další názvy | QPE, phase kickback | VQE, hybrid quantum-classical |
| Příbuzné≠ | 3 | 4 |
| Shrnutí≠ | Quantum Phase Estimation (QPE) is a fundamental quantum subroutine that estimates the eigenvalues of a unitary operator. Developed by Alexei Kitaev in 1995, QPE combines controlled unitary evolution with the quantum Fourier transform to extract eigenvalues from quantum states with exponential precision scaling. | The Variational Quantum Eigensolver (VQE) is a hybrid quantum-classical algorithm designed to find the lowest eigenvalue (ground state energy) of a quantum Hamiltonian. Introduced by Peruzzo et al. in 2014, it exploits the variational principle to combine the power of quantum circuits with classical optimization to solve chemistry and materials science problems on near-term quantum devices. |
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