4 citations · 4 across the 3 of their papers we have counts for
8 papers
Dual-laser self-injection locking to an integrated microresonator
Dmitry A. Chermoshentsev, Artem E. Shitikov, Evgeny A. Lonshakov +7
Diode laser self-injection locking (SIL) to a whispering gallery mode of a high quality factor resonator is a widely used method for laser linewidth narrowing and high-frequency no…
Adaptation of Quadruped Robot Locomotion with Meta-Learning
Arsen Kuzhamuratov, Dmitry Sorokin, Alexander Ulanov +1
Animals have remarkable abilities to adapt locomotion to different terrains and tasks. However, robots trained by means of reinforcement learning are typically able to solve only a…
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin, Alexander Ulanov, Ekaterina Sazhina +1
Limitations in acquiring training data restrict potential applications of deep reinforcement learning (RL) methods to the training of real-world robots. Here we train an RL agent t…
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Dmitrii Beloborodov, A. E. Ulanov, Jakob N. Foerster +2
Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization. However, these algorithms may require careful hyperparameter tuni…
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics
Alexander E. Ulanov, Egor S. Tiunov, A. I. Lvovsky
Quantum simulators and processors are rapidly improving nowadays, but they are still not able to solve complex and multidimensional tasks of practical value. However, certain numer…
Experimental quantum homodyne tomography via machine learning
E. S. Tiunov, V. V. Tiunova, A. E. Ulanov +2
Complete characterization of states and processes that occur within quantum devices is crucial for understanding and testing their potential to outperform classical technologies fo…