Сравнение на методи

	Алгоритъм на Шор	Квантово разпределение на ключ (BB84)	Квантово оценяване на фаза
Област	Квантови изчисления	Квантови изчисления	Квантови изчисления
Семейство	Machine learning	Machine learning	Machine learning
Година на възникване	1994	1984	1995
Създател	Peter Shor	Charles Bennett and Gilles Brassard	Alexei Kitaev
Тип	Quantum algorithm	Cryptographic protocol	Subroutine algorithm
Основополагащ източник	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.	Bennett, C. H., Brassard, G. (1984). Quantum cryptography: public key distribution and coin tossing. Proceedings of IEEE International Conference on Computers, Systems, and Signal Processing, 175–179.	Kitaev, A. Y. (1995). Quantum measurements and the Abelian stabilizer problem. arXiv preprint quant-ph/9511026.
Други названия	Shor factorization, quantum factorization	BB84, quantum cryptography	QPE, phase kickback
Свързани	3	2	3
Резюме	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.	Quantum Key Distribution (QKD) BB84 is a cryptographic protocol allowing two parties to establish a shared secret key using quantum mechanics. Proposed by Bennett and Brassard in 1984, BB84 provides information-theoretic security: an eavesdropper's presence is guaranteed to be detected, and the secret key is provably secure against unlimited computational power.	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.