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.
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Nayak, S., Nayak, S., Singh, J.P. (2012). Quantum Concepts in Neural Computation. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_40
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DOI: https://doi.org/10.1007/978-81-322-0487-9_40
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