Deep Reinforcement Learning for Quantum Hamiltonian Engineering

Floquet prethermalization in dipolar spin chains

(2021) Pai Peng et al.   Nature Physics

Improving the dynamics of quantum sensors with reinforcement learning

(2020) Jonas Schuff et al.   NEW JOURNAL OF PHYSICS

Global optimization of quantum dynamics with AlphaZero deep exploration

(2020) Mogens Dalgaard et al.   npj Quantum Information

Quantum Metrology with Strongly Interacting Spin Systems

(2020) Hengyun Zhou et al.   Physical Review X

Robust Dynamic Hamiltonian Engineering of Many-Body Spin Systems

(2020) Joonhee Choi et al.   Physical Review X

Universal quantum control through deep reinforcement learning

(2019) Murphy Yuezhen Niu et al.   npj Quantum Information

Quantum localization bounds Trotter errors in digital quantum simulation

(2019) Markus Heyl et al.   Science Advances

Pulse control protocols for preserving coherence in dipolar-coupled nuclear spin baths

(2019) A. M. Waeber et al.   Nature Communications

Emergent Prethermalization Signatures in Out-of-Time Ordered Correlations

(2019) Ken Xuan Wei et al.   PHYSICAL REVIEW LETTERS

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

When does reinforcement learning stand out in quantum control? A comparative study on state preparation

(2019) Xiao-Ming Zhang et al.   npj Quantum Information

Exploring Localization in Nuclear Spin Chains

(2018) Ken Xuan Wei et al.   PHYSICAL REVIEW LETTERS

Reinforcement Learning in Different Phases of Quantum Control

(2018) Marin Bukov et al.   Physical Review X

Reinforcement Learning with Neural Networks for Quantum Feedback

(2018) Thomas Fösel et al.   Physical Review X

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Universal high-frequency behavior of periodically driven systems: from dynamical stabilization to Floquet engineering

(2015) Marin Bukov et al.   ADVANCES IN PHYSICS

Deep learning

(2015) Yann LeCun et al.   NATURE

Exponentially Slow Heating in Periodically Driven Many-Body Systems

(2015) Dmitry A. Abanin et al.   PHYSICAL REVIEW LETTERS

Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems

(2013) Chunlin Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Exploring constrained quantum control landscapes

(2012) Katharine W. Moore et al.   JOURNAL OF CHEMICAL PHYSICS

Multispin correlations and pseudothermalization of the transient density matrix in solid-state NMR: Free induction decay and magic echo

(2012) Steven W. Morgan et al.   PHYSICAL REVIEW B

Optimal Control Technique for Many-Body Quantum Dynamics

(2011) Patrick Doria et al.   PHYSICAL REVIEW LETTERS

The Magnus expansion and some of its applications

(2008) S. Blanes et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS