Methoden vergelijken

	Kwantum Monte Carlo	Hartree-Fock-methode
Vakgebied	Kwantumcomputing	Kwantumcomputing
Familie	Machine learning	Machine learning
Jaar van ontstaan	1953	1928
Grondlegger	Nicholas Metropolis and colleagues	Douglas Hartree and Vladimir Fock
Type	Monte Carlo simulation	Electronic structure method
Oorspronkelijke bron	Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092.	Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik, 61, 126–148.
Aliassen	QMC, variational Monte Carlo, diffusion Monte Carlo	HF, self-consistent field
Verwant	3	4
Samenvatting	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.	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.