24 citations to https://www.mathnet.ru/rus/phrb5
  1. Roy J. Garcia, Kaifeng Bu, Arthur Jaffe, “Quantifying scrambling in quantum neural networks”, J. High Energ. Phys., 2022:3 (2022)  crossref
  2. Jie Ren, Zhao Wang, Weixia Chen, Wen-Long You, “Long-range order and quantum criticality in antiferromagnetic chains with long-range staggered interactions”, Phys. Rev. E, 105:3 (2022)  crossref
  3. Zakaria Patel, Ejaaz Merali, Sebastian J Wetzel, “Unsupervised learning of Rydberg atom array phase diagram with Siamese neural networks”, New J. Phys., 24:11 (2022), 113021  crossref
  4. Jintao Yang, Junpeng Cao, Wen-Li Yang, “Dynamical learning of non-Markovian quantum dynamics”, Chinese Phys. B, 31:1 (2022), 010314  crossref
  5. David Yevick, “Variational autoencoder analysis of Ising model statistical distributions and phase transitions”, Eur. Phys. J. B, 95:3 (2022)  crossref
  6. David Huber, Oleksandr V Marchukov, Hans-Werner Hammer, Artem G Volosniev, “Morphology of three-body quantum states from machine learning”, New J. Phys., 23:6 (2021), 065009  crossref
  7. Oleksandr Balabanov, Mats Granath, “Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands”, Mach. Learn.: Sci. Technol., 2:2 (2021), 025008  crossref
  8. Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Gregoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Muller, “A Unifying Review of Deep and Shallow Anomaly Detection”, Proc. IEEE, 109:5 (2021), 756  crossref
  9. A Berezutskii, M Beketov, D Yudin, Z Zimborás, J D Biamonte, “Probing criticality in quantum spin chains with neural networks”, J. Phys. Complex., 1:3 (2020), 03LT01  crossref
  10. Anna A. Bychek, Pavel S. Muraev, Dmitrii N. Maksimov, Evgeny N. Bulgakov, Andrey R. Kolovsky, FIFTH INTERNATIONAL CONFERENCE ON QUANTUM TECHNOLOGIES (ICQT-2019), 2241, FIFTH INTERNATIONAL CONFERENCE ON QUANTUM TECHNOLOGIES (ICQT-2019), 2020, 020007  crossref
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