A. I. Lvovsky

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 15

Top Topics

Levenberg Marquardt

Combinatorial Optimization

Machine Learning And Statistical

Top Venues

Mach. Learn. Sci. Technol.

Nat. Mach. Intell.

Publications

James Spall, Xianxin Guo, A. I. Lvovsky
Training neural networks with end-to-end optical backpropagation. CoRR (2023)
Thomas D. Barrett, Aleksei Malyshev, A. I. Lvovsky
Autoregressive neural-network wavefunctions for ab initio quantum chemistry. Nat. Mach. Intell. 4 (4) (2022)
Stepan Makarenko, Dmitry Sorokin, Alexander E. Ulanov, A. I. Lvovsky
Aligning an optical interferometer with beam divergence control and continuous action space. CoRR (2021)
Arsen Kuzhamuratov, Dmitry Sorokin, Alexander E. Ulanov, A. I. Lvovsky
Adaptation of Quadruped Robot Locomotion with Meta-Learning. CoRR (2021)
David Drahi, Demid V. Sychev, Khurram K. Pirov, Ekaterina A. Sazhina, Valeriy A. Novikov, Ian A. Walmsley, A. I. Lvovsky
Entangled resource for interfacing single- and dual-rail optical qubits. Quantum 5 (2021)
Thomas D. Barrett, Aleksei Malyshev, A. I. Lvovsky
Autoregressive neural-network wavefunctions for ab initio quantum chemistry. CoRR (2021)
Dmitrii Beloborodov, Alexander E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky
Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization. Mach. Learn. Sci. Technol. 2 (2) (2021)
Dmitrii Beloborodov, Alexander E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization. CoRR (2020)
G. S. Thekkadath, B. A. Bell, Ian A. Walmsley, A. I. Lvovsky
Engineering Schrödinger cat states with a photonic even-parity detector. Quantum 4 (2020)
Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky
Exploratory Combinatorial Optimization with Reinforcement Learning. AAAI (2020)
Alexander E. Ulanov, Egor S. Tiunov, A. I. Lvovsky
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics. CoRR (2019)
Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky
Exploratory Combinatorial Optimization with Reinforcement Learning. CoRR (2019)
Egor S. Tiunov, V. V. Tiunova, Alexander E. Ulanov, A. I. Lvovsky, Aleksey K. Fedorov
Experimental quantum homodyne tomography via machine learning. CoRR (2019)
Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang, A. I. Lvovsky
End-to-end optical backpropagation for training neural networks. CoRR (2019)
Evgeniy O. Kiktenko, Nikolay O. Pozhar, Maxim N. Anufriev, A. S. Trushechkin, R. R. Yunusov, Y. V. Kurochkin, A. I. Lvovsky, Aleksey K. Fedorov
Quantum-secured blockchain. CoRR (2017)
Rolf T. Horn, A. J. Scott, Jonathan Walgate, Richard Cleve, A. I. Lvovsky, Barry C. Sanders
Classical and quantum fingerprinting with shared randomness and one-sided error. Quantum Inf. Comput. 5 (3) (2005)