مقایسهٔ روشها
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| تخمین فاز کوانتومی× | الگوریتم خودکار مقادیر ویژه متغیر× | |
|---|---|---|
| حوزه | محاسبات کوانتومی | محاسبات کوانتومی |
| خانواده | Machine learning | Machine learning |
| سال پیدایش≠ | 1995 | 2014 |
| پدیدآور≠ | Alexei Kitaev | Alberto Peruzzo |
| نوع≠ | Subroutine algorithm | Hybrid quantum-classical algorithm |
| منبع بنیادین≠ | 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 ↗ |
| نامهای دیگر | QPE, phase kickback | VQE, hybrid quantum-classical |
| مرتبط≠ | 3 | 4 |
| خلاصه≠ | 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. |
| ScholarGateمجموعهداده ↗ |
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