Privacy-preserving machine learning with tensor networks
Tensor networks, widely used for providing efficient representations of low-energy states of local quantum many-body systems, have been recently proposed as machine learning architectures which could present advantages with respect to traditional ones. In this work we show that tensor-network archit...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2024-07-01
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| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2024-07-25-1425/pdf/ |