66 citations to https://www.mathnet.ru/eng/prl4
  1. Wenxuan Zhang, Xiansong Xu, Zheyu Wu, Vinitha Balachandran, Dario Poletti, “Ground state search by local and sequential updates of neural network quantum states”, Phys. Rev. B, 107:16 (2023)  crossref
  2. Chen Ding, Xiao-Yue Xu, Yun-Fei Niu, Shuo Zhang, He-Liang Huang, Wan-Su Bao, “Active learning on a programmable photonic quantum processor”, Quantum Sci. Technol., 8:3 (2023), 035030  crossref
  3. Sergey Filippov, “Multipartite correlations in quantum collision models”, Entropy, 24:4 (2022), 508–26  mathnet  crossref  scopus
  4. James Sud, Jeffrey Marshall, Zhihui Wang, Eleanor Rieffel, Filip A. Wudarski, “Dual-map framework for noise characterization of quantum computers”, Phys. Rev. A, 106:1 (2022)  crossref
  5. Haimeng Zhang, Bibek Pokharel, E.M. Levenson-Falk, Daniel Lidar, “Predicting Non-Markovian Superconducting-Qubit Dynamics from Tomographic Reconstruction”, Phys. Rev. Applied, 17:5 (2022)  crossref
  6. Irinel Tapalaga, Ivan Traparić, Nora Trklja Boca, Jagoš Purić, Ivan P. Dojčinović, “Stark spectral line broadening modeling by machine learning algorithms”, Neural Comput & Applic, 34:8 (2022), 6349  crossref
  7. Stefano Gherardini, Andrea Smirne, Susana F Huelga, Filippo Caruso, “Transfer-tensor description of memory effects in open-system dynamics and multi-time statistics”, Quantum Sci. Technol., 7:2 (2022), 025005  crossref
  8. Manas Sajjan, Junxu Li, Raja Selvarajan, Shree Hari Sureshbabu, Sumit Suresh Kale, Rishabh Gupta, Vinit Singh, Sabre Kais, “Quantum machine learning for chemistry and physics”, Chem. Soc. Rev., 51:15 (2022), 6475  crossref
  9. Miha Papič, Inés de Vega, “Neural-network-based qubit-environment characterization”, Phys. Rev. A, 105:2 (2022)  crossref
  10. Sergey N. Filippov, Ilia A. Luchnikov, “Collisional open quantum dynamics with a generally correlated environment: Exact solvability in tensor networks”, Phys. Rev. A, 105 (2022), 62410–7  mathnet  crossref  scopus
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