Residual matrix product state for machine learning
Tensor network, which originates from quantum physics, is emerging as an efficient tool for classical and quantum machine learning. Nevertheless, there still exists a considerable accuracy gap between tensor network and the sophisticated neural network models for classical machine learning. In this...
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| Format: | Article |
| Language: | English |
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SciPost
2023-06-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.14.6.142 |