Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Квантовое оценивание фазы× | Алгоритм Шора× | |
|---|---|---|
| Область | Квантовые вычисления | Квантовые вычисления |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1995 | 1994 |
| Автор метода≠ | Alexei Kitaev | Peter Shor |
| Тип≠ | Subroutine algorithm | Quantum algorithm |
| Основополагающий источник≠ | Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026. link ↗ | Shor, 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 ↗ |
| Другие названия | QPE, phase kickback | Shor factorization, quantum factorization |
| Связанные | 3 | 3 |
| Сводка≠ | 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. | Shor'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. |
| ScholarGateНабор данных ↗ |
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