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In this work, we propose a quantum neural network named quantum perceptron over a field (QPF).
K. Hoffman, R. Kunze, Linear Algebra, Prentic-Hall, 1971
1971
Earlier work this paper cites.
P. Benioff, The computer as a physical system: A microscopic quantum mechanical hamiltonian model of computers as represented by turing machines, Journal of Statistical Physics 22 (5) (1980) 563–591
1980
Earlier work this paper cites.
R. Feynman, Simulating physics with computers, International Journal of Theoretical Physics 21 (1982) 467–488
1982
Earlier work this paper cites.
D. Deutsch, Quantum theory, the church-turing principle and the universal quantum computer, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences 400 (1818) (1985) 97–117
1985
Earlier work this paper cites.
S. Weinberg, Precision tests of quantum mechanics, Phys. Rev. Lett. 62 (1989) 485–488
1989
Earlier work this paper cites.
S. C. Kak, On quantum neural computing, Information Sciences 83 (3) (1995) 143–160
1995
Earlier work this paper cites.
L. K. Grover, Quantum mechanics helps in searching for a needle in a haystack, Phys. Rev. Lett. 79 (1997) 325–328
1997
Earlier work this paper cites.
P. W. Shor, Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM Journal on Computing 26 (5) (1997) 1484–1509
1997
Earlier work this paper cites.
E. Farhi, S. Gutmann, Quantum computation and decision trees, Phys. Rev. A 58 (1998) 915–928
1998
Earlier work this paper cites.
D. S. Abrams, S. Lloyd, Nonlinear quantum mechanics implies polynomial-time solution for n p np -complete and p p problems, Phys. Rev. Lett. 81 (18) (1998) 3992–3995
1998
Earlier work this paper cites.
J. Zhou, Q. Gan, A. Krzyżak, C. Y. Suen, Recognition of handwritten numerals by quantum neural network with fuzzy features, International Journal on Document Analysis and Recognition 2 (1) (1999) 30–36
1999
Earlier work this paper cites.
S. Haykin, Neural Networks, Prentice Hall, 1999
1999
Earlier work this paper cites.
A. Narayanan, T. Menneer, Quantum artificial neural networks architectures and components, Information Sciences 128 (3-4) (2000) 231–255
2000
Earlier work this paper cites.
D. Ventura, T. Martinez, Quantum associative memory, Information Sciences 124 (1-4) (2000) 273 – 296
2000
Earlier work this paper cites.
M. A. Nielsen, I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2000
2000
Earlier work this paper cites.
E. C. Behrman, L. R. Nash, J. E. Steck, V. G. Chandrashekar, S. R. Skinner, Simulations of quantum neural networks, Information Sciences 128 (3-4) (2000) 257–269
2000
Earlier work this paper cites.
C. A. Trugenberger, Probabilistic quantum memories, Phys. Rev. Lett. 87 (6) (2001) 067901
2001
Earlier work this paper cites.
H. Beigy, M. R. Meybodi, Backpropagation algorithm adaptation parameters using learning automata, International Journal of Neural Systems 11 (03) (2001) 219–228
2001
Earlier work this paper cites.
M. V. Altaisky, Quantum neural network, Technical report, Joint Institute for Nuclear Research, Russia (2001)
2001
Earlier work this paper cites.
S. Gupta, R. Zia, Quantum neural networks, Journal of Computer and System Sciences 63 (3) (2001) 355 – 383
2001
Cited alongside, same era.
C. A. Trugenberger, Quantum pattern recognition, Quantum Information Processing 1 (2002) 471–493
2002
Cited alongside, same era.
K.-H. Han, J.-H. Kim, Quantum-inspired evolutionary algorithm for a class of combinatorial optimization, Evolutionary Computation, IEEE Transactions on 6 (6) (2002) 580–593
2002
Cited alongside, same era.
A. Yamazaki, T. B. Ludermir, Neural network training with global optimization techniques, International Journal of Neural Systems 13 (02) (2003) 77–86
2003
Cited alongside, same era.
D. Anguita, S. Ridella, F. Rivieccio, R. Zunino, Quantum optimization for training support vector machines, Neural Networks 16 (5–6) (2003) 763 – 770
2003
Cited alongside, same era.
H. Xuan, Research on quantum adaptive resonance theory neural network, in: Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on, Vol. 8, 2011, pp. 3885–3888
2011
Later among the works it cites.
A. J. da Silva, W. R. de Oliveira, T. B. Ludermir, Classical and superposed learning for quantum weightless neural networks, Neurocomputing 75 (1) (2012) 52 – 60
2012
Later among the works it cites.
R. Zhou, H. Wang, Q. Wu, Y. Shi, Quantum associative neural network with nonlinear search algorithm, International Journal of Theoretical Physics 51 (3) (2012) 705–723
2012
Later among the works it cites.
W.-Y. Hsu, Application of quantum-behaved particle swarm optimization to motor imagery eeg classification., International journal of neural systems 23 (6) (2013) 1350026
2013
Later among the works it cites.
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B. Ricks, D. Ventura, Training a quantum neural network, in: Advances in Neural Information Processing Systems, Cambridge, MA, 2004
2004
Cited alongside, same era.
N. Kouda, N. Matsui, H. Nishimura, F. Peper, Qubit neural network and its learning efficiency, Neural Comput. Appl. 14 (2) (2005) 114–121
2005
Cited alongside, same era.
R. Zhou, L. Qin, N. Jiang, Quantum perceptron network, in: Artificial Neural Networks–ICANN 2006, Vol. 4131, 2006, pp. 651–657
2006
Cited alongside, same era.
A. da Cruz, M. Vellasco, M. Pacheco, Quantum-inspired evolutionary algorithm for numerical optimization, in: Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, 2006, pp. 2630–2637
2006
Cited alongside, same era.
R. Zhou, Q. Ding, Quantum m-p neural network, International Journal of Theoretical Physics 46 (2007) 3209–3215
2007
Cited alongside, same era.
W. R. de Oliveira, A. J. da Silva, T. B. Ludermir, A. Leonel, W. Galindo, J. Pereira, Quantum logical neural networks, in: Brazilian Symposium on Neural Networks, 2008, pp. 147 –152
2008
Cited alongside, same era.
M. Panella, G. Martinelli, Neurofuzzy networks with nonlinear quantum learning, Fuzzy Systems, IEEE Transactions on 17 (3) (2009) 698–710
2009
Cited alongside, same era.
P. Li, H. Xiao, F. Shang, X. Tong, X. Li, M. Cao, A hybrid quantum-inspired neural networks with sequence inputs, Neurocomputing 117 (2013) 81 – 90
2013
Later among the works it cites.
C.-Y. Liu, C. Chen, C.-T. Chang, L.-M. Shih, Single-hidden-layer feed-forward quantum neural network based on grover learning, Neural Networks 45 (0) (2013) 144 – 150
2013
Later among the works it cites.
2013
Later among the works it cites.
M. Lichman, UCI machine learning repository (2013). URL http://archive.ics.uci.edu/ml
2013
Later among the works it cites.
M. Schuld, I. Sinayskiy, F. Petruccione, The quest for a quantum neural network, Quantum Information Processing 13 (11) (2014) 2567–2586
2014
Later among the works it cites.
J. Cabessa, H. T. Siegelmann, The super-turing computational power of plastic recurrent neural networks, International Journal of Neural Systems 24 (08) (2014) 1450029
2014
Later among the works it cites.
G. Zhang, H. Rong, F. Neri, M. J. Pérez-Jiménez, An optimization spiking neural p system for approximately solving combinatorial optimization problems, International Journal of Neural Systems 24 (05) (2014) 1440006
2014
Later among the works it cites.
M. González, D. Dominguez, F. B. RodrÃguez, Ã. Sánchez, Retrieval of noisy fingerprint patterns using metric attractor networks, International Journal of Neural Systems 24 (07) (2014) 1450025
2014
Later among the works it cites.
M. Schuld, I. Sinayskiy, F. Petruccione, Quantum walks on graphs representing the firing patterns of a quantum neural network, Physical Review A - Atomic, Molecular, and Optical Physics 89 (3) (2014) 032333
2014
Later among the works it cites.
S. S. Tirumala, G. Chen, S. Pang, Quantum inspired evolutionary algorithm by representing candidate solution as normal distribution, in: Neural Information Processing, 2014, pp. 308–316
2014
Later among the works it cites.
doi:10.1109/BRACIS.2014.37
G. Strachan, A. Koshiyama, D. Dias, M. Vellasco, M. Pacheco, Quantum-inspired multi-gene linear genetic programming model for regression problems, in: Intelligent Systems (BRACIS), 2014 Brazilian Conference on, 2014, pp. 152–157 · 2014
Later among the works it cites.
M. Siomau, A quantum model for autonomous learning automata, Quantum Information Processing 13 (5) (2014) 1211–1221
2014
Later among the works it cites.
A. J. da Silva, W. R. de Oliveira, T. B. Ludermir, Comments on “quantum m-p neural network”, International Journal of Theoretical Physics 54 (6) (2015) 1878–1881
2015
Later among the works it cites.
G. Svetlichny, Nonlinear quantum mechanics at the planck scale, International Journal of Theoretical Physics 44 (11) (2005) 2051–2058
2058
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