Quantum machine learning beyond kernel methods
Comparing the capabilities of different quantum machine learning protocols is difficult. Here, the authors show that different learning models based on parametrized quantum circuits can all be seen as quantum linear models, thus driving general conclusions on their resource requirements and capabili...
| Main Authors: | , , , , , |
|---|---|
| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Nature Portfolio
2023-01-01
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| סדרה: | Nature Communications |
| גישה מקוונת: | https://doi.org/10.1038/s41467-023-36159-y |