השוואת שיטות

	תיאוריית פונקציונל הצפיפות	מונטה קרלו קוונטי
תחום	מחשוב קוונטי	מחשוב קוונטי
משפחה	Machine learning	Machine learning
שנת המקור	1965	1953
הוגה השיטה	Walter Kohn	Nicholas Metropolis and colleagues
סוג	Electronic structure method	Monte Carlo simulation
מקור מכונן	Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138.	Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092.
כינויים	DFT, Kohn-Sham equations	QMC, variational Monte Carlo, diffusion Monte Carlo
קשורות	4	3
תקציר	Density Functional Theory (DFT) is a computational method for determining the properties of materials and molecules by modeling the ground state electron density. Developed by Walter Kohn and Lu Jeu Sham in the 1960s, DFT reduces the complexity of quantum chemistry from tracking individual electron coordinates to optimizing the total electron density, enabling efficient simulations of large molecular and condensed-matter systems.	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.