Marin Bukov

According to our database, Marin Bukov authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations.

Pavel Tashev, Stefan Petrov, Friederike Metz, Marin Bukov

CoRR, 2024

2023

Self-correcting quantum many-body control using reinforcement learning with tensor networks.

Friederike Metz, Marin Bukov

Nat. Mac. Intell., July, 2023

2022

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits.

Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks.

Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving.

Jiahao Yao, Lin Lin, Marin Bukov

CoRR, 2020

Policy Gradient based Quantum Approximate Optimization Algorithm.

Jiahao Yao, Marin Bukov, Lin Lin

Proceedings of Mathematical and Scientific Machine Learning, 2020

2018

A high-bias, low-variance introduction to Machine Learning for physicists.

Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G. R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab

CoRR, 2018