Comparar métodos

	Estimación de Fase Cuántica	Eigensolver Cuántico Variacional
Campo	Computación cuántica	Computación cuántica
Familia	Machine learning	Machine learning
Año de origen	1995	2014
Autor original	Alexei Kitaev	Alberto Peruzzo
Tipo	Subroutine algorithm	Hybrid quantum-classical algorithm
Fuente seminal	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
Relacionados	3	4
Resumen	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.