Marin Bukov

发表

Reinforcement Learning in Different Phases of Quantum Control

Pankaj Mehta, Marin Bukov, Alexandre G.R. Day, 2017, Physical Review X.

Policy Gradient based Quantum Approximate Optimization Algorithm

Lin Lin, Jiahao Yao, Marin Bukov, 2020, MSML.

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

Lin Lin, Marin Bukov, Jiahao Yao, 2020, ArXiv.

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

Lin Lin, Marin Bukov, Jiahao Yao, 2020, MSML.

Glassy Phase of Optimal Quantum Control.

Pankaj Mehta, Marin Bukov, Dries Sels, 2018, Physical review letters.

What Can Reinforcement Learning Teach Us About Non-Equilibrium Quantum Dynamics

Pankaj Mehta, Marin Bukov, Dries Sels, 2017 .

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

David J. Schwab, Charles K. Fisher, Pankaj Mehta, 2018, Physics reports.

Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving

Marin Bukov, Jiahao Yao, Lin Lin, 2020, Physical Review X.

Reinforcement Learning to Autonomously Prepare Floquet-Engineered States: Inverting the Quantum Kapitza Oscillator

Marin Bukov, M. Bukov, 2018 .

Geometric Speed Limit of Accessible Many-Body State Preparation

Marin Bukov, Dries Sels, Anatoli Polkovnikov, 2018, Physical Review X.

Machine Learning Meets Quantum State Preparation. The Phase Diagram of Quantum Control

Marin Bukov, Dries Sels, Phillip Weinberg, 2017 .

Broken symmetry in a two-qubit quantum control landscape

Marin Bukov, Dries Sels, Phillip Weinberg, 2017, 1711.09109.

Reinforcement learning for autonomous preparation of Floquet-engineered states: Inverting the quantum Kapitza oscillator

Marin Bukov, M. Bukov, Marin Bukov, 2018, Physical Review B.