24 citations to https://www.mathnet.ru/rus/spp5
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A. V. Berezutskii, I. A. Luchnikov, A. K. Fedorov, “Simulating quantum circuits using the multi-scale entanglement renormalization ansatz”, Phys. Rev. Research, 7:1 (2025)
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Yuchen Guo, Shuo Yang, “Efficient quantum circuit compilation for near-term quantum advantage”, EPJ Quantum Technol., 12:1 (2025)
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Aleksandr Berezutskii, Minzhao Liu, Atithi Acharya, Roman Ellerbrock, Johnnie Gray, Reza Haghshenas, Zichang He, Abid Khan, Viacheslav Kuzmin, Dmitry Lyakh, Danylo Lykov, Salvatore Mandrà, Christopher Mansell, Alexey Melnikov, Artem Melnikov, Vladimir Mironov, Dmitry Morozov, Florian Neukart, Alberto Nocera, Michael A. Perlin, Michael Perelshtein, Matthew Steinberg, Ruslan Shaydulin, Benjamin Villalonga, Markus Pflitsch, Marco Pistoia, Valerii Vinokur, Yuri Alexeev, “Tensor networks for quantum computing”, Nat Rev Phys, 2025
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Emiliano Godinez-Ramirez, Richard M. Milbradt, Christian B. Mendl, “Riemannian approach to the Lindbladian dynamics of a locally purified tensor network”, Phys. Rev. A, 112:1 (2025)
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Isabel Nha Minh Le, Shuo Sun, Christian B. Mendl, “Riemannian quantum circuit optimization based on matrix product operators”, Quantum, 9 (2025), 1833
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Akshay Gaikwad, Manuel Sebastian Torres, Shahnawaz Ahmed, Anton Frisk Kockum, “Gradient-descent methods for fast quantum state tomography”, Quantum Sci. Technol., 10:4 (2025), 045055
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I. A. Luchnikov, M. A. Gavreev, A. K. Fedorov, “Controlling quantum many-body systems using reduced-order modeling”, Phys. Rev. Research, 6:1 (2024)
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Albert Salmi, Anu Lehtovuori, Ville Viikari, “Synthesis of Reactively Loaded Sparse Antenna Arrays Using Optimization on Riemannian Manifold”, IEEE Open J. Antennas Propag., 5:3 (2024), 653
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Ryo Watanabe, Hiroshi Ueda, “Automatic structural search of tensor network states including entanglement renormalization”, Phys. Rev. Research, 6:3 (2024)
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Ananda Roy, Sameer Erramilli, Robert M. Konik, “Efficient quantum circuits based on the quantum natural gradient”, Phys. Rev. Research, 6:4 (2024)