方法对比
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| 格点量子色动力学× | 密度泛函理论× | |
|---|---|---|
| 领域 | 量子计算 | 量子计算 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1974 | 1965 |
| 提出者≠ | Kenneth Wilson | Walter Kohn |
| 类型≠ | Simulation method | Electronic structure method |
| 开创性文献≠ | 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 ↗ |
| 别名 | LQCD, lattice gauge theory | DFT, Kohn-Sham equations |
| 相关≠ | 3 | 4 |
| 摘要≠ | 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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