Marin Bukov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Partial Observations

Optimization Algorithm

Monte Carlo Tree Search

Reinforcement Learning

Top Venues

Nat. Mac. Intell.

Publications

Pavel Tashev, Stefan Petrov, Friederike Metz, Marin Bukov
Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations. CoRR (2024)
Friederike Metz, Marin Bukov
Self-correcting quantum many-body control using reinforcement learning with tensor networks. Nat. Mac. Intell. 5 (7) (2023)
Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. MSML (2022)
Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. CoRR (2022)
Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. MSML (2021)
Jiahao Yao, Marin Bukov, Lin Lin
Policy Gradient based Quantum Approximate Optimization Algorithm. MSML (2020)
Jiahao Yao, Marin Bukov, Lin Lin
Policy Gradient based Quantum Approximate Optimization Algorithm. CoRR (2020)
Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. CoRR (2020)
Jiahao Yao, Lin Lin, Marin Bukov
Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving. CoRR (2020)
Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G. R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab
A high-bias, low-variance introduction to Machine Learning for physicists. CoRR (2018)