Quantum machine learning with adaptive linear optics
We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine – either for prediction via probability estimation, or to compute a kernel via estimation of quantum states overlap. We design implementations of these quantum subroutines using Boson Samp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2021-07-01
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| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2021-07-05-496/pdf/ |