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| تكامل المسار مونت كارلو× | كروموديناميكا الكم الشبكية (LQCD)× | |
|---|---|---|
| المجال | الحوسبة الكمومية | الحوسبة الكمومية |
| العائلة | Machine learning | Machine learning |
| سنة النشأة≠ | 1948 | 1974 |
| صاحب الطريقة≠ | Richard Feynman | Kenneth Wilson |
| النوع≠ | Stochastic simulation | Simulation method |
| المصدر التأسيسي≠ | Feynman, R. P. (1948). Space-time approach to non-relativistic quantum mechanics. Reviews of Modern Physics, 20, 367–387. DOI ↗ | Wilson, K. G. (1974). Confinement of quarks. Physical Review D, 10, 2445–2459. DOI ↗ |
| الأسماء البديلة | PIMC, Feynman path integral | LQCD, lattice gauge theory |
| ذات صلة | 3 | 3 |
| الملخص≠ | Path Integral Monte Carlo (PIMC) is a computational method for calculating thermodynamic and structural properties of quantum systems using Feynman's path integral formulation. Developed rigorously by David Ceperley and colleagues in the 1990s, PIMC treats quantum particles as classical polymers in a higher-dimensional space, enabling efficient Monte Carlo sampling of quantum statistics. | Lattice Quantum Chromodynamics (LQCD) is a computational method for studying quantum chromodynamics (QCD)—the theory of strong nuclear forces—by discretizing spacetime onto a lattice and simulating quark and gluon dynamics. Introduced by Kenneth Wilson in 1974, LQCD is the only known approach for non-perturbative calculations of QCD properties from first principles. |
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