Quantum computing in neural networks
| dc.creator | Gralewicz, P. | |
| dc.date | 2004-01-21 | |
| dc.date | 2004-02-11 | |
| dc.date.accessioned | 2026-07-07T06:08:51Z | |
| dc.date.available | 2026-07-07T06:08:51Z | |
| dc.description | According to the statistical interpretation of quantum theory, quantum computers form a distinguished class of probabilistic machines (PMs) by encoding n qubits in 2n pbits (random binary variables). This raises the possibility of a large-scale quantum computing using PMs, especially with neural networks which have the innate capability for probabilistic information processing. Restricting ourselves to a particular model, we construct and numerically examine the performance of neural circuits implementing universal quantum gates. A discussion on the physiological plausibility of proposed coding scheme is also provided. | |
| dc.description | Minor changes, improved discussion, added references, 10 pages, 4 eps figures, LaTeX2e | |
| dc.identifier | https://arxiv.org/abs/quant-ph/0401127 | |
| dc.identifier | http://arxiv.org/abs/quant-ph/0401127 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/91776 | |
| dc.subject | Quantum Physics | |
| dc.subject | Neurons and Cognition | |
| dc.title | Quantum computing in neural networks | |
| dc.type | text |