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| المحلل الكمومي المتغير× | تقدير الطور الكمومي× | |
|---|---|---|
| المجال | الحوسبة الكمومية | الحوسبة الكمومية |
| العائلة | Machine learning | Machine learning |
| سنة النشأة≠ | 2014 | 1995 |
| صاحب الطريقة≠ | Alberto Peruzzo | Alexei Kitaev |
| النوع≠ | Hybrid quantum-classical algorithm | Subroutine algorithm |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | VQE, hybrid quantum-classical | QPE, phase kickback |
| ذات صلة≠ | 4 | 3 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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