Comparer des méthodes

	Estimation de phase quantique	Algorithme variationnel quantique d'estimation d'énergie
Domaine	Informatique quantique	Informatique quantique
Famille	Machine learning	Machine learning
Année d'origine	1995	2014
Auteur d'origine	Alexei Kitaev	Alberto Peruzzo
Type	Subroutine algorithm	Hybrid quantum-classical algorithm
Source fondatrice	Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026.	Peruzzo, A., McClean, J., Shadbolt, P., et al. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213.
Alias	QPE, phase kickback	VQE, hybrid quantum-classical
Apparentées	3	4
Résumé	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.