Quantum Concepts in Neural Computation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Sitakanta Nayak , Shaktikanta Nayak , J. P. Singh

ABSTRACT

Quantum computation uses quantum mechanical concepts to perform computational tasks and in some cases its results are exponentially faster than their classical counterparts. The main practical reason to investigate the quantum concepts on artificial neural computation is motivated by the success of some quantum algorithms like Grover’s search algorithm and Shore’s factoring algorithm. The neural networks can be advanced more by the application of quantum computing on artificial neural network (ANN). Since quantum physics is the natural generalization of classical physics, the classical ANN can be generalized to its quantum domain by the combination of classical neural computation with quantum computation. In this paper we have tried to introduce basic quantum mechanical concepts in artificial neural computation. More... »

PAGES

415-421

References to SciGraph publications

  • 1982-11. Quantum mechanical hamiltonian models of turing machines in JOURNAL OF STATISTICAL PHYSICS
  • 1982-06. Simulating physics with computers in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2000. Quantum Neural Networks in FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES
  • Book

    TITLE

    Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

    ISBN

    978-81-322-0486-2
    978-81-322-0487-9

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-81-322-0487-9_40

    DOI

    http://dx.doi.org/10.1007/978-81-322-0487-9_40

    DIMENSIONS

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