Сравнение методов

	Квантовый Монте-Карло	Метод Хартри-Фока
Область	Квантовые вычисления	Квантовые вычисления
Семейство	Machine learning	Machine learning
Год появления	1953	1928
Автор метода	Nicholas Metropolis and colleagues	Douglas Hartree and Vladimir Fock
Тип	Monte Carlo simulation	Electronic structure method
Основополагающий источник	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.
Другие названия	QMC, variational Monte Carlo, diffusion Monte Carlo	HF, self-consistent field
Связанные	3	4
Сводка	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.