विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्वांटम फेज एस्टिमेशन× | ग्रोवर का एल्गोरिथम× | |
|---|---|---|
| क्षेत्र | क्वांटम कंप्यूटिंग | क्वांटम कंप्यूटिंग |
| परिवार | Machine learning | Machine learning |
| उद्भव वर्ष≠ | 1995 | 1996 |
| प्रवर्तक≠ | Alexei Kitaev | Lov Grover |
| प्रकार≠ | Subroutine algorithm | Quantum algorithm |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | QPE, phase kickback | quantum search, amplitude amplification |
| संबंधित | 3 | 3 |
| सारांश≠ | 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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