Adversarial quantum circuit learning for pure state approximation
Adversarial learning is one of the most successful approaches to modeling high-dimensional probability distributions from data. The quantum computing community has recently begun to generalize this idea and to look for potential applications. In this work, we derive an adversarial algorithm for the...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IOP Publishing
2019-01-01
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| Edice: | New Journal of Physics |
| Témata: | |
| On-line přístup: | https://doi.org/10.1088/1367-2630/ab14b5 |
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