Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Estimación de Fase Cuántica× | Algoritmo de Grover× | |
|---|---|---|
| Campo | Computación cuántica | Computación cuántica |
| Familia | Machine learning | Machine learning |
| Año de origen≠ | 1995 | 1996 |
| Autor original≠ | Alexei Kitaev | Lov Grover |
| Tipo≠ | Subroutine algorithm | Quantum algorithm |
| Fuente seminal≠ | Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026. link ↗ | 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 ↗ |
| Alias | QPE, phase kickback | quantum search, amplitude amplification |
| Relacionados | 3 | 3 |
| Resumen≠ | Quantum Phase Estimation (QPE) is a fundamental quantum subroutine that estimates the eigenvalues of a unitary operator. Developed by Alexei Kitaev in 1995, QPE combines controlled unitary evolution with the quantum Fourier transform to extract eigenvalues from quantum states with exponential precision scaling. | 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. |
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