The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Quantum Entanglement in Neural Network States
Open accessAbstract
Machine learning has recently gained attention as a possible way to understand phase transitions in many-body quantum systems. A new entanglement analysis reveals crucial properties of the data structures that encode quantum states in a neural network, opening new inroads in applying machine learning to quantum many-body physics.
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Cited by
Circuit-centric quantum classifiers
Schuld, M., Bocharov, A., Svore, K. M., & Wiebe, N. (2020) · Physical Review A · doi:10.1103/physreva.101.032308 · Cited by 1,057
Discovering Physical Concepts with Neural Networks
Iten, R., Metger, T., Wilming, H., del Rio, L., & Renner, R. (2020) · Physical Review Letters · doi:10.1103/physrevlett.124.010508 · Cited by 458
Hu, W., Singh, R. R. P., & Scalettar, R. T. (2017) · Physical Review E · doi:10.1103/physreve.95.062122 · Cited by 332
Expressive power of parametrized quantum circuits
Du, Y., Hsieh, M.-H., Liu, T., & Tao, D. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.033125 · Cited by 318
Reconstructing quantum states with generative models
Carrasquilla, J., Torlai, G., Melko, R. G., & Aolita, L. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0028-1 · Cited by 317
Metadata
- Authors
- Deng, D.-L., Li, X., & Das Sarma, S.
- Venue
- Physical Review X
- Publisher
- American Physical Society (APS)
- Published
- 2017-05-11
- Volume
- 7
- Issue
- 2
- ISSN
- 2160-3308 (ISSN-L)
- OpenAlex
- W2582157661
- Cited by
- 403
- References
- 128
- FWCI
- 21.44
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
