手法を比較

	ハートリー-フォック法	Quantum Monte Carlo
分野	量子コンピューティング	量子コンピューティング
系統	Machine learning	Machine learning
提唱年	1928	1953
提唱者	Douglas Hartree and Vladimir Fock	Nicholas Metropolis and colleagues
種類	Electronic structure method	Monte Carlo simulation
原典	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.
別名	HF, self-consistent field	QMC, variational Monte Carlo, diffusion Monte Carlo
関連	4	3
概要	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.