A Quantum Neural Network Computes Entanglement
| dc.creator | Behrman, E. C. | |
| dc.creator | Chandrashekar, V. | |
| dc.creator | Wang, Z. | |
| dc.creator | Belur, C. K. | |
| dc.creator | Steck, J. E. | |
| dc.creator | Skinner, S. R. | |
| dc.date | 2002-02-22 | |
| dc.date.accessioned | 2026-07-07T06:03:44Z | |
| dc.date.available | 2026-07-07T06:03:44Z | |
| dc.description | An outstanding problem in quantum computing is the calculation of entanglement, for which no closed-form algorithm exists. Here we solve that problem, and demonstrate the utility of a quantum neural computer, by showing, in simulation, that such a device can be trained to calculate the entanglement of an input state, something neither an algorithmic quantum computer nor a classical neural net can do. | |
| dc.description | 8 pages; 2 figures; 3 tables. Submitted to Phys. Rev. Lett | |
| dc.identifier | https://arxiv.org/abs/quant-ph/0202131 | |
| dc.identifier | http://arxiv.org/abs/quant-ph/0202131 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/90051 | |
| dc.subject | Quantum Physics | |
| dc.title | A Quantum Neural Network Computes Entanglement | |
| dc.type | text |