| Presentation | 2006-06-16 A Study on Learning Algorithm for a Quantum Neural Network Mitsunaga KINJO, Shigeo SATO, Koji NAKAJIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A quantum neural network based both on the adiabatic quantum computation and the artificial neural network is one of candidates to overcome the difficulty for developing a quantum computation algorithm. In this paper, we propose a new learning method for a quantum neural network inspired by Hebb learning. Preliminary but successful results by numerical simulations have been shown. The results indicate that a quantum learning like Hebb rule can be implemented. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Artificial Neural Network / Adiabatic Quantum Computation / Hebb Learning / Energy Dissipation |
| Paper # | NC2006-28 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/6/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Learning Algorithm for a Quantum Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Artificial Neural Network |
| Keyword(2) | Adiabatic Quantum Computation |
| Keyword(3) | Hebb Learning |
| Keyword(4) | Energy Dissipation |
| 1st Author's Name | Mitsunaga KINJO |
| 1st Author's Affiliation | R.I.E.C., Tohoku University() |
| 2nd Author's Name | Shigeo SATO |
| 2nd Author's Affiliation | R.I.E.C., Tohoku University |
| 3rd Author's Name | Koji NAKAJIMA |
| 3rd Author's Affiliation | R.I.E.C., Tohoku University |
| Date | 2006-06-16 |
| Paper # | NC2006-28 |
| Volume (vol) | vol.106 |
| Number (no) | 102 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |