| Autor: |
Wan, KH, Dahlsten, O, Kristjansson, H, Gardner, R, Kim, MS |
| Přispěvatelé: |
Engineering & Physical Science Research Council (E |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
npj Quantum Information, Vol 3, Iss 1, Pp 1-8 (2017) |
| DOI: |
10.48550/arxiv.1612.01045 |
| Popis: |
Neural networks processing quantum superpositions We often want computers to tell us something about the input data, e.g. if a given image corresponds to a cat or a dog. It seems the human brain learns this by looking at examples whilst getting feedback from a teacher, rather than being given an algorithm. Such an approach to programming is now revolutionising the ability of machines to learn. The approach uses simplified models of the brain: neural nets. Quantum information processing devices are now emerging as the next generation of information processors. One may hope that the neural net approach will be similarly powerful there. We therefore designed quantum neural nets, processing quantum superpositions. The nets work well in two example tasks: compressing data stored in superpositions, and rediscovering a protocol known as quantum teleportation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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