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Shorov algoritmus×Groverov algoritmus×Kvantové odhadovanie fázy×
OdborKvantové výpočtyKvantové výpočtyKvantové výpočty
RodinaMachine learningMachine learningMachine learning
Rok vzniku199419961995
TvorcaPeter ShorLov GroverAlexei Kitaev
TypQuantum algorithmQuantum algorithmSubroutine algorithm
Pôvodný zdrojShor, P. W. (1994). Algorithms for quantum computation: discrete logarithms and factoring. Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 124–134. DOI ↗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 ↗Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026. link ↗
Ďalšie názvyShor factorization, quantum factorizationquantum search, amplitude amplificationQPE, phase kickback
Príbuzné333
ZhrnutieShor's Algorithm is a polynomial-time quantum algorithm for factoring large integers and computing discrete logarithms, problems believed to be intractable on classical computers. Discovered by Peter Shor in 1994, it demonstrated the potential of quantum computers to break widely used cryptographic systems like RSA, marking a landmark in quantum computing theory.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 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.
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ScholarGatePorovnať metódy: Shor's Algorithm · Grover's Algorithm · Quantum Phase Estimation. Získané 2026-06-15 z https://scholargate.app/sk/compare