Comparer des méthodes

	Méthode de Hartree-Fock	Monte-Carlo quantique
Domaine	Informatique quantique	Informatique quantique
Famille	Machine learning	Machine learning
Année d'origine	1928	1953
Auteur d'origine	Douglas Hartree and Vladimir Fock	Nicholas Metropolis and colleagues
Type	Electronic structure method	Monte Carlo simulation
Source fondatrice	Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik, 61, 126–148.	Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092.
Alias	HF, self-consistent field	QMC, variational Monte Carlo, diffusion Monte Carlo
Apparentées	4	3
Résumé	The Hartree-Fock (HF) method is a foundational self-consistent field approach for solving the many-electron Schrödinger equation. Developed independently by Douglas Hartree and Vladimir Fock in the late 1920s, it approximates the ground state by assuming electrons move in an average field generated by all other electrons, enabling tractable quantum chemistry calculations.	Quantum Monte Carlo (QMC) is a stochastic computational method for computing ground state properties of quantum many-body systems. Combining classical Monte Carlo sampling with quantum mechanics, QMC approaches are among the most accurate methods available for electronic structure and condensed matter physics, achieving sub-percent accuracy for many systems.