17 citations to https://www.mathnet.ru/rus/phrr2
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Sohail Reddy, Stefanie Günther, Yujin Cho, “Data-driven characterization of latent dynamics on quantum testbeds”, AVS Quantum Science, 6:3 (2024)
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Hao Zeng, Yitian Kou, Xiang Sun, “How Sophisticated Are Neural Networks Needed to Predict Long-Term Nonadiabatic Dynamics?”, J. Chem. Theory Comput., 2024
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Oleg M. Sotnikov, Ilia A. Iakovlev, Evgeniy O. Kiktenko, Aleksey K. Fedorov, Vladimir V. Mazurenko, “Achieving the volume-law entropy regime with random-sign Dicke states”, Phys. Rev. A, 110:6 (2024)
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Mohammad Alghadeer, Nufida D. Aisyah, Mahmoud Hezam, Saad M. Alqahtani, Ahmer A. B. Baloch, Fahhad H. Alharbi, “Machine learning prediction of materials properties from chemical composition: Status and prospects”, Chemical Physics Reviews, 5:4 (2024)
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Yadong Wu, Juan Yao, Pengfei Zhang, “Preparing quantum states by measurement-feedback control with Bayesian optimization”, Front. Phys., 18:6 (2023)
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Emilio Onorati, Tamara Kohler, Toby S. Cubitt, “Fitting quantum noise models to tomography data”, Quantum, 7 (2023), 1197
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Maxim A. Gavreev, Evgeniy O. Kiktenko, Alena S. Mastiukova, Aleksey K. Fedorov, “Suppressing Decoherence in Quantum State Transfer with Unitary Operations”, Entropy, 25:1 (2022), 67