Abstract
This chapter outlines the research, development and perspectives of quantum neural networks - a burgeoning new field which integrates classical neurocomputing with quantum computation [1]. It is argued that the study of quantum neural networks may give us both new understanding of brain function as well as unprecedented possibilities in creating new systems for information processing, including solving classically intractable problems, associative memory with exponential capacity and possibly overcoming the limitations posed by the Church-Turing thesis.
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Ezhov, A.A., Ventura, D. (2000). Quantum Neural Networks. In: Kasabov, N. (eds) Future Directions for Intelligent Systems and Information Sciences. Studies in Fuzziness and Soft Computing, vol 45. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1856-7_11
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DOI: https://doi.org/10.1007/978-3-7908-1856-7_11
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