Marin Bukov

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforcement Learning for Quantum Technology. CoRR Marin Bukov, Florian Marquardt
2024	J	`jnl`	Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations. CoRR Pavel Tashev, Stefan Petrov, Friederike Metz, Marin Bukov
2024	J	`jnl`	Reinforcement learning pulses for transmon qubit entangling gates. Mach. Learn. Sci. Technol. Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov, Markus Schmitt
2023	J	`jnl`	Self-correcting quantum many-body control using reinforcement learning with tensor networks. Nat. Mac. Intell. Friederike Metz, Marin Bukov
2022	—	`conf`	Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. MSML Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
2022	J	`jnl`	Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. CoRR Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
2021	—	`conf`	Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. MSML Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov
2020	J	`jnl`	Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. CoRR Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov
2020	—	`conf`	Policy Gradient based Quantum Approximate Optimization Algorithm. MSML Jiahao Yao, Marin Bukov, Lin Lin
2020	J	`jnl`	Policy Gradient based Quantum Approximate Optimization Algorithm. CoRR Jiahao Yao, Marin Bukov, Lin Lin
2020	J	`jnl`	Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving. CoRR Jiahao Yao, Lin Lin, Marin Bukov
2018	J	`jnl`	A high-bias, low-variance introduction to Machine Learning for physicists. CoRR Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G. R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab