Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Вариационный квантовый решатель× | Квантовое оценивание фазы× | |
|---|---|---|
| Область | Квантовые вычисления | Квантовые вычисления |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 2014 | 1995 |
| Автор метода≠ | Alberto Peruzzo | Alexei Kitaev |
| Тип≠ | Hybrid quantum-classical algorithm | Subroutine algorithm |
| Основополагающий источник≠ | Peruzzo, A., McClean, J., Shadbolt, P., et al. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213. DOI ↗ | Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026. link ↗ |
| Другие названия | VQE, hybrid quantum-classical | QPE, phase kickback |
| Связанные≠ | 4 | 3 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
|
|