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Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Metóda Hartreeho-Focka× | Kvantové Monte Carlo× | |
|---|---|---|
| Odbor | Kvantové výpočty | Kvantové výpočty |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 1928 | 1953 |
| Tvorca≠ | Douglas Hartree and Vladimir Fock | Nicholas Metropolis and colleagues |
| Typ≠ | Electronic structure method | Monte Carlo simulation |
| Pôvodný zdroj≠ | Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik, 61, 126–148. link ↗ | Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092. DOI ↗ |
| Ďalšie názvy≠ | HF, self-consistent field | QMC, variational Monte Carlo, diffusion Monte Carlo |
| Príbuzné≠ | 4 | 3 |
| Zhrnutie≠ | 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. |
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