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| Grover-Algorithmus× | Quantum Monte Carlo× | |
|---|---|---|
| Fachgebiet | Quantencomputing | Quantencomputing |
| Familie | Machine learning | Machine learning |
| Entstehungsjahr≠ | 1996 | 1953 |
| Urheber≠ | Lov Grover | Nicholas Metropolis and colleagues |
| Typ≠ | Quantum algorithm | Monte Carlo simulation |
| Wegweisende Quelle≠ | Grover, L. K. (1996). A fast quantum mechanical algorithm for database search. Proceedings of the 28th Annual ACM Symposium on Theory of Computing (STOC), 212–219. DOI ↗ | Metropolis, N., Rosenbluth, A. W., et al. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087–1092. DOI ↗ |
| Aliasnamen≠ | quantum search, amplitude amplification | QMC, variational Monte Carlo, diffusion Monte Carlo |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | Grover's Algorithm is a quantum algorithm for searching an unsorted database, offering a quadratic speedup over classical linear search. Proposed by Lov Grover in 1996, it exploits quantum superposition and amplitude amplification to find a target item among N items in O(√N) queries, compared to the classical O(N) requirement. | 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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