A QUANTUM NEURAL NETWORK MODEL
2002 ◽
Vol 13
(01)
◽
pp. 75-88
◽
Keyword(s):
We present the algorithms necessary for the implementation of a quantum neural network with learning and classification tasks. A complete implementation for the classification and learning algorithms is given in terms of unitary quantum gates. Such a quantum neural network can be used to perform complex classification tasks or to solve the general problem of binary mapping.
2010 ◽
Vol 20-23
◽
pp. 612-617
◽
2013 ◽
Vol 380-384
◽
pp. 3534-3537
1996 ◽
Vol 8
(4)
◽
pp. 403-428
◽
Keyword(s):
2008 ◽
Vol 147
(2)
◽
pp. 464-469
◽
2018 ◽
Vol 14
(10)
◽
pp. 230
◽