66 citations to https://www.mathnet.ru/eng/prl4
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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)
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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
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Sergey Filippov, “Multipartite correlations in quantum collision models”, Entropy, 24:4 (2022), 508–26
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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)
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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)
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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
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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
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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
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Miha Papič, Inés de Vega, “Neural-network-based qubit-environment characterization”, Phys. Rev. A, 105:2 (2022)
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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