Keywords
quantum, entanglement, neural computing
Abstract
Efforts in combining quantum and neural computation are briefly discussed and the concept of entanglement as it applies to this subject is addressed. Entanglement is perhaps the least understood aspect of quantum systems used for computation, yet it is apparently most responsible for their computational power. This paper argues for the importance of understanding and utilizing entanglement in quantum neural computation.
Original Publication Citation
Dan Ventura, "On the Utility of Entanglement in Quantum Neural Computing", Proceedings of the International Joint Conference on Neural Networks, pp. 1565-157, July 21.
BYU ScholarsArchive Citation
Ventura, Dan A., "On the Utility of Entanglement in Quantum Neural Computing" (2001). Faculty Publications. 567.
https://scholarsarchive.byu.edu/facpub/567
Document Type
Peer-Reviewed Article
Publication Date
2001-07-01
Permanent URL
http://hdl.lib.byu.edu/1877/2528
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/