Abstract
An attempt to present the functionality of quantum associative memory, mainly memorization operation to mimic the natural phenomenon of the brain (more remembering of frequently observed patterns and gradual forgetting the non-recalled patterns) is done. Quantum neural network has features such as understanding, awareness, and consciousness. Quantum Neural Networks use content-addressable quantum associative memory for its “memorize” and “recall” operations. We attempt to mimic the memorization process to that of the natural phenomenon of the brain, wherein the memorization of patterns and their storage is based on the time and the frequency of its recall.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Petruccione F, Schuld M, Sinayskiy I (2014) The quest for a quantum neural network
Kak SC (1995) Adv Imaging Electron Phys 94:259
Narayanan A, Menneer T (1995) Tech Rep 329:1995
Nash L, Behrman EC, Steck JE, Skinner SR, Chandrashekar V (2000) Inf Sci 128(3):257
Martinez T, Ventura D (2000) Inf Sci 124(1):273
Trugenberger CA (2001) Phys Rev Lett 87:067901
Trugenberger CA (2002) Quantum Inf Process 1(6):471–493
Altaisky M (2001). arXiv preprint quant-ph/0107012
Siomau M (2012). arXiv preprint arXiv:1210.6626
Ventura D (1998) Artificial associative memory using quantum processes. In: Proceedings of the international conference on computational intelligence and neuroscience, vol 2, pp 218–221
Grover LK (1996) A fast quantum mechanical algorithm for database search. In: Proceedings of the 28th annual ACM symposium on the theory of computation, pp 212–219
Castro LN (2006) Fundamentals of natural computing
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Venkat Raman, B., Chandra Shekar, K., Gandhasiri, R., Gurram, S. (2019). Memorization Approach to Quantum Associative Memory Inspired by the Natural Phenomenon of Brain. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 74. Springer, Singapore. https://doi.org/10.1007/978-981-13-7082-3_40
Download citation
DOI: https://doi.org/10.1007/978-981-13-7082-3_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7081-6
Online ISBN: 978-981-13-7082-3
eBook Packages: EngineeringEngineering (R0)