Quantum-Inspired Algorithms for Accelerating Machine Learning
Author:
Affiliation:
1. National Institutes for Quantum Science and Technology
2. National Institute of Information and Communications Technology
Publisher
Japanese Neural Network Society
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jnns/29/4/29_186/_pdf
Reference27 articles.
1. 1) Nielsen, M.A., Chuang, I.L. (2001): Quantum Computation and Quantum Information, Cambridge University Press, Cambridge; New York.
2. 2) Shor, P.W. (1994): Algorithms for quantum computation: discrete logarithms and factoring, In Proceedings 35th Annual Symposium on Foundations of Computer Science, pp.124-134.
3. 3) Shor, P.W. (1997): Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM J. Comput., Vol.26, pp.1484-1509.
4. 4) Lenstra, H.W., Pomerance, C. (1992): A rigorous time bound for factoring integers, J. Amer. Math. Soc., Vol.5, pp.483-516.
5. 5) Agrawal, M., Kayal, N., Saxena, N. (2004): PRIMES is in P, Ann. Math., Vol.160, pp.781-793.
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