Machine learning with quantum computers /
| 第一著者: | |
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| その他の著者: | |
| フォーマット: | 不明 |
| 言語: | English |
| 出版事項: |
Cham, Switzerland :
Springer,
2021.
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| 版: | Second edition. |
| シリーズ: | Quantum science and technology
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| 主題: |
目次:
- Introduction Machine learning Quantum computing Representing data on a quantum computer Variational circuits as machine learning models Quantum models as Kernel methods Fault-tolerant quantum machine learning Approaches based on the Ising model Potential quantum advantages