A. I. Lvovsky

According to our database, A. I. Lvovsky authored at least 15 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Training neural networks with end-to-end optical backpropagation.

James Spall, Xianxin Guo, A. I. Lvovsky

CoRR, 2023

2022

Autoregressive neural-network wavefunctions for ab initio quantum chemistry.

Thomas D. Barrett, Aleksei O. Malyshev, A. I. Lvovsky

Nat. Mach. Intell., 2022

Hybrid training of optical neural networks.

James Spall, Xianxin Guo, Alexander I. Lvovsky

CoRR, 2022

2021

Entangled resource for interfacing single- and dual-rail optical qubits.

David Drahi, Demid V. Sychev, Khurram K. Pirov, Ekaterina A. Sazhina, Valeriy A. Novikov, Ian A. Walmsley, A. I. Lvovsky

Quantum, 2021

Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization.

Dmitrii Beloborodov, Alexander E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky

Mach. Learn. Sci. Technol., 2021

Adaptation of Quadruped Robot Locomotion with Meta-Learning.

Arsen Kuzhamuratov, Dmitry Igorevich Sorokin, Alexander E. Ulanov, A. I. Lvovsky

CoRR, 2021

Aligning an optical interferometer with beam divergence control and continuous action space.

Stepan Makarenko, Dmitry Igorevich Sorokin, Alexander E. Ulanov, Alexander I. Lvovsky

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Engineering Schrödinger cat states with a photonic even-parity detector.

G. S. Thekkadath, B. A. Bell, Ian A. Walmsley, A. I. Lvovsky

Quantum, 2020

Interferobot: aligning an optical interferometer by a reinforcement learning agent.

Dmitry Igorevich Sorokin, Alexander E. Ulanov, Ekaterina A. Sazhina, Alexander I. Lvovsky

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploratory Combinatorial Optimization with Reinforcement Learning.

Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

End-to-end optical backpropagation for training neural networks.

Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang, A. I. Lvovsky

CoRR, 2019

Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics.

Alexander E. Ulanov, Egor S. Tiunov, A. I. Lvovsky

CoRR, 2019

Experimental quantum homodyne tomography via machine learning.

Egor S. Tiunov, V. V. Tiunova, Alexander E. Ulanov, A. I. Lvovsky, Aleksey K. Fedorov

CoRR, 2019

2017

Quantum-secured blockchain.

Evgeniy O. Kiktenko, Nikolay O. Pozhar, Maxim N. Anufriev, A. S. Trushechkin, R. R. Yunusov, Y. V. Kurochkin, A. I. Lvovsky, Aleksey K. Fedorov

CoRR, 2017

2005

Classical and quantum fingerprinting with shared randomness and one-sided error.

Rolf T. Horn, A. J. Scott, Jonathan Walgate, Richard Cleve, A. I. Lvovsky, Barry C. Sanders

Quantum Inf. Comput., 2005