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| 격자 양자 색역학× | 밀도 범함수 이론× | |
|---|---|---|
| 분야 | 양자컴퓨팅 | 양자컴퓨팅 |
| 계열 | Machine learning | Machine learning |
| 기원 연도≠ | 1974 | 1965 |
| 창시자≠ | Kenneth Wilson | Walter Kohn |
| 유형≠ | Simulation method | Electronic structure method |
| 원전≠ | Wilson, K. G. (1974). Confinement of quarks. Physical Review D, 10, 2445–2459. DOI ↗ | Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗ |
| 별칭 | LQCD, lattice gauge theory | DFT, Kohn-Sham equations |
| 관련≠ | 3 | 4 |
| 요약≠ | 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. | 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. |
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