Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Kvantový Monte Carlo× | Hartree-Fock Method× | |
|---|---|---|
| Obor | Kvantové výpočty | Kvantové výpočty |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 1953 | 1928 |
| Tvůrce≠ | Nicholas Metropolis and colleagues | Douglas Hartree and Vladimir Fock |
| Typ≠ | Monte Carlo simulation | Electronic structure method |
| Původní zdroj≠ | Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092. DOI ↗ | Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik, 61, 126–148. link ↗ |
| Další názvy≠ | QMC, variational Monte Carlo, diffusion Monte Carlo | HF, self-consistent field |
| Příbuzné≠ | 3 | 4 |
| Shrnutí≠ | 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. |
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