Provably Trainable Rotationally Equivariant Quantum Machine Learning
Exploiting the power of quantum computation to realize superior machine learning algorithms has been a major research focus of recent years, but the prospects of quantum machine learning (QML) remain dampened by considerable technical challenges. A particularly significant issue is that generic QML...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Physical Society
2024-07-01
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| Schriftenreihe: | PRX Quantum |
| Online-Zugang: | http://doi.org/10.1103/PRXQuantum.5.030320 |
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