Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kvantitatīvā fāzes novērtēšana× | Grover's algoritms× | |
|---|---|---|
| Nozare | Kvantu skaitļošana | Kvantu skaitļošana |
| Saime | Machine learning | Machine learning |
| Izcelsmes gads≠ | 1995 | 1996 |
| Autors≠ | Alexei Kitaev | Lov Grover |
| Tips≠ | Subroutine algorithm | Quantum algorithm |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | QPE, phase kickback | quantum search, amplitude amplification |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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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