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Volumn 183, Issue , 2016, Pages 13-22

Weightless neural network parameters and architecture selection in a quantum computer

Author keywords

Architecture selection; Quantum learning; Quantum neural networks; Quantum weightless neural networks

Indexed keywords

LEARNING ALGORITHMS; NEURAL NETWORKS; QUANTUM COMPUTERS; QUANTUM THEORY;

EID: 84958602535     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.05.139     Document Type: Article
Times cited : (20)

References (47)
  • 1
    • 51249180339 scopus 로고
    • Simulating physics with computers
    • Feynman R. Simulating physics with computers. Int. J. Theor. Phys. 1982, 21:467.
    • (1982) Int. J. Theor. Phys. , vol.21 , pp. 467
    • Feynman, R.1
  • 2
    • 0142051871 scopus 로고    scopus 로고
    • Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
    • Shor P.W. Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM J. Comput. 1997, 26(5):1484-1509.
    • (1997) SIAM J. Comput. , vol.26 , Issue.5 , pp. 1484-1509
    • Shor, P.W.1
  • 3
    • 4243807288 scopus 로고    scopus 로고
    • Quantum mechanics helps in searching for a needle in a haystack
    • Grover L.K. Quantum mechanics helps in searching for a needle in a haystack. Phys. Rev. Lett. 1997, 79(2):325-328.
    • (1997) Phys. Rev. Lett. , vol.79 , Issue.2 , pp. 325-328
    • Grover, L.K.1
  • 4
    • 84884683911 scopus 로고    scopus 로고
    • Experimental determination of Ramsey numbers
    • Zhengbing Bian, Chudak Fabian, Macready William G., Clark Lane, Gaitan Frank Experimental determination of Ramsey numbers. Phys. Rev. Lett. 2013, 111:130505. . 〈http://dx.doi.org/10.1103/PhysRevLett.111.130505〉.
    • (2013) Phys. Rev. Lett. , vol.111 , pp. 130505
    • Zhengbing, B.1    Chudak, F.2    Macready, W.G.3    Clark, L.4    Gaitan, F.5
  • 6
    • 4243657256 scopus 로고    scopus 로고
    • Quantum computation and decision trees
    • E. Farhi, S. Gutmann, Quantum computation and decision trees, 1998. doi:10.1103/PhysRevA.58.915.
    • (1998)
    • Farhi, E.1    Gutmann, S.2
  • 8
    • 78651473785 scopus 로고    scopus 로고
    • Neural networks with quantum architecture and quantum learning
    • Panella M., Martinelli G. Neural networks with quantum architecture and quantum learning. Int. J. Circuit Theory Appl. 2011, 39(1):61-77.
    • (2011) Int. J. Circuit Theory Appl. , vol.39 , Issue.1 , pp. 61-77
    • Panella, M.1    Martinelli, G.2
  • 13
    • 82455199211 scopus 로고    scopus 로고
    • Classical and superposed learning for quantum weightless neural networks
    • da Silva A.J., de Oliveira W.R., Ludermir T.B. Classical and superposed learning for quantum weightless neural networks. Neurocomputing 2012, 75(1):52-60.
    • (2012) Neurocomputing , vol.75 , Issue.1 , pp. 52-60
    • da Silva, A.J.1    de Oliveira, W.R.2    Ludermir, T.B.3
  • 14
    • 0034300183 scopus 로고    scopus 로고
    • Quantum artificial neural networks architectures and components
    • Narayanan A., Menneer T. Quantum artificial neural networks architectures and components. Inf. Sci. 2000, 128(3-4):231-255.
    • (2000) Inf. Sci. , vol.128 , Issue.3-4 , pp. 231-255
    • Narayanan, A.1    Menneer, T.2
  • 16
    • 84880926625 scopus 로고    scopus 로고
    • Single-hidden-layer feed-forward quantum neural network based on Grover learning
    • Liu C.Y., Chen C., Chang C.T., Shih L.M. Single-hidden-layer feed-forward quantum neural network based on Grover learning. Neural Netw. 2013, 45:144-150.
    • (2013) Neural Netw. , vol.45 , pp. 144-150
    • Liu, C.Y.1    Chen, C.2    Chang, C.T.3    Shih, L.M.4
  • 17
    • 85024334109 scopus 로고
    • Self-adaptive universal logic circuits
    • Aleksander I. Self-adaptive universal logic circuits. Electron. Lett. 1966, 2(8):321-322.
    • (1966) Electron. Lett. , vol.2 , Issue.8 , pp. 321-322
    • Aleksander, I.1
  • 22
    • 0029272121 scopus 로고
    • On quantum neural computing
    • Kak S.C. On quantum neural computing. Inf. Sci. 1995, 83(3):143-160.
    • (1995) Inf. Sci. , vol.83 , Issue.3 , pp. 143-160
    • Kak, S.C.1
  • 23
    • 0001044763 scopus 로고    scopus 로고
    • Nonlinear quantum mechanics implies polynomial-time solution for NP-complete and P problems
    • Abrams D.S., Lloyd S. Nonlinear quantum mechanics implies polynomial-time solution for NP-complete and P problems. Phys. Rev. Lett. 1998, 81(18):3992-3995.
    • (1998) Phys. Rev. Lett. , vol.81 , Issue.18 , pp. 3992-3995
    • Abrams, D.S.1    Lloyd, S.2
  • 24
    • 64549116364 scopus 로고    scopus 로고
    • Quantum learning by measurement and feedback
    • Gammelmark S., Mølmer K. Quantum learning by measurement and feedback. New J. Phys. 2009, 11(3):33017.
    • (2009) New J. Phys. , vol.11 , Issue.3 , pp. 33017
    • Gammelmark, S.1    Mølmer, K.2
  • 25
    • 0742306458 scopus 로고    scopus 로고
    • Meta learning evolutionary artificial neural networks
    • Abraham A. Meta learning evolutionary artificial neural networks. Neurocomputing 2004, 56:1-38.
    • (2004) Neurocomputing , vol.56 , pp. 1-38
    • Abraham, A.1
  • 26
    • 77949266538 scopus 로고    scopus 로고
    • A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks
    • Almeida L.M., Ludermir T.B. A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. Neurocomputing 2010, 73(7-9):1438-1450.
    • (2010) Neurocomputing , vol.73 , Issue.7-9 , pp. 1438-1450
    • Almeida, L.M.1    Ludermir, T.B.2
  • 30
    • 0032346576 scopus 로고    scopus 로고
    • Remarks on Search Algorithms and Nonlinearity
    • Czachor M. Remarks on Search Algorithms and Nonlinearity. Acta Physica Slovaca 1998, 48:157-162.
    • (1998) Acta Physica Slovaca , vol.48 , pp. 157-162
    • Czachor, M.1
  • 36
    • 67149088591 scopus 로고    scopus 로고
    • Neurofuzzy networks with nonlinear quantum learning
    • Panella M., Martinelli G. Neurofuzzy networks with nonlinear quantum learning. IEEE Trans. Fuzzy Syst. 2009, 17(3):698-710.
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , Issue.3 , pp. 698-710
    • Panella, M.1    Martinelli, G.2
  • 37
    • 84878909063 scopus 로고    scopus 로고
    • A hybrid quantum-inspired neural networks with sequence inputs
    • Li P., Xiao H., Shang F., Tong X., Li X., Cao M. A hybrid quantum-inspired neural networks with sequence inputs. Neurocomputing 2013, 117:81-90. 10.1016/j.neucom.2013.01.029.
    • (2013) Neurocomputing , vol.117 , pp. 81-90
    • Li, P.1    Xiao, H.2    Shang, F.3    Tong, X.4    Li, X.5    Cao, M.6
  • 40
    • 84919828475 scopus 로고    scopus 로고
    • Quantum neural networks. current status and prospects for development
    • Altaisky M., Kaputkina N., Krylov V. Quantum neural networks. current status and prospects for development. Phys. Part. Nucl. 2014, 45(6):1013-1032. 10.1134/S1063779614060033.
    • (2014) Phys. Part. Nucl. , vol.45 , Issue.6 , pp. 1013-1032
    • Altaisky, M.1    Kaputkina, N.2    Krylov, V.3
  • 41
    • 84873157746 scopus 로고    scopus 로고
    • On the Universality of Quantum Logical Neural Networks
    • in: 2012 Brazilian Symposium on Neural Networks, Ieee
    • A.J. da Silva, T.B. Ludermir, W.R. de Oliveira, On the Universality of Quantum Logical Neural Networks, in: 2012 Brazilian Symposium on Neural Networks, Ieee, 2012, pp. 102-106. doi:10.1109/SBRN.2012.44.
    • (2012) , pp. 102-106
    • da Silva, A.J.1    Ludermir, T.B.2    de Oliveira, W.R.3
  • 42
    • 79952556203 scopus 로고    scopus 로고
    • A weightless neural node based on a probabilistic quantum memory
    • 2010 Eleventh Brazilian Symposium on Neural Networks (SBRN)
    • A.J. da Silva, W.R. de Oliveira, T.B. Ludermir, A weightless neural node based on a probabilistic quantum memory, in: 2010 Eleventh Brazilian Symposium on Neural Networks (SBRN), 2010, pp. 259-264. doi:10.1109/SBRN.2010.52.
    • (2010) , pp. 259-264
    • da Silva, A.J.1    de Oliveira, W.R.2    Ludermir, T.B.3
  • 43
    • 84856795450 scopus 로고    scopus 로고
    • Quantum associative neural network with nonlinear search algorithm
    • Zhou R., Wang H., Wu Q., Shi Y. Quantum associative neural network with nonlinear search algorithm. Int. J. Theor. Phys. 2012, 51(3):705-723.
    • (2012) Int. J. Theor. Phys. , vol.51 , Issue.3 , pp. 705-723
    • Zhou, R.1    Wang, H.2    Wu, Q.3    Shi, Y.4
  • 44
    • 84904806561 scopus 로고    scopus 로고
    • A hybrid meta-learning architecture for multi-objective optimization of SVM parameters
    • Miranda P.B., Prudncio R.B., de Carvalho A.P., Soares C. A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing 2014, 143(0):27-43.
    • (2014) Neurocomputing , vol.143 , pp. 27-43
    • Miranda, P.B.1    Prudncio, R.B.2    de Carvalho, A.P.3    Soares, C.4
  • 45
    • 34249985779 scopus 로고    scopus 로고
    • Quantum pattern recognition
    • Trugenberger C.A. Quantum pattern recognition. Quantum Inf. Process. 2002, 1(6):471-493.
    • (2002) Quantum Inf. Process. , vol.1 , Issue.6 , pp. 471-493
    • Trugenberger, C.A.1
  • 46
    • 84859528912 scopus 로고    scopus 로고
    • Quantum hierarchic models for information processing
    • Altaisky M.V., Kaputkina N.E. Quantum hierarchic models for information processing. Int. J. Quantum Inf. 2012, 10(02):1250026.
    • (2012) Int. J. Quantum Inf. , vol.10 , Issue.2 , pp. 1250026
    • Altaisky, M.V.1    Kaputkina, N.E.2
  • 47
    • 0033889971 scopus 로고    scopus 로고
    • Quantum associative memory
    • Ventura D., Martinez T. Quantum associative memory. Inf. Sci. 2000, 124(1-4):273-296.
    • (2000) Inf. Sci. , vol.124 , Issue.1-4 , pp. 273-296
    • Ventura, D.1    Martinez, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.