Paper
23 July 2003 Quantum neural technology and controllable quantum gates
Author Affiliations +
Proceedings Volume 5128, First International Symposium on Quantum Informatics; (2003) https://doi.org/10.1117/12.517894
Event: First International Symposium on Quantum Informatics, 2002, Lipki, Russian Federation
Abstract
Quantum neural technology is a hypothetical but promising new field of informatics, which combines together the main ideas of both quantum and neural computing. There is a hope that this combination can resolve many problems of already existing classical neural technology, and also can give new opportunities to future quantum computing. Comparing with classical neural technology its quantum analog can enhance dramatically the capacity of neural modesl of associative memory, to facilitate the creation of neural hardware by eliminating the wiring problem, etc. On the other hand, as it will be argued in presented paper, quantum neural system can be used for realization of controllable quantum gates, which can be used in quantum computers, and in particular, in so-called type-II quantum computers.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexandr A. Ezhov "Quantum neural technology and controllable quantum gates", Proc. SPIE 5128, First International Symposium on Quantum Informatics, (23 July 2003); https://doi.org/10.1117/12.517894
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neurons

Quantum computing

Quantum communications

Computing systems

Superposition

Binary data

Analog electronics

Back to Top