Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements

Model-Free Quantum Control with Reinforcement Learning

(2022) V. V. Sivak et al.   Physical Review X

Deep learning enhanced individual nuclear-spin detection

(2021) Kyunghoon Jung et al.   npj Quantum Information

Multiplexed Photon Number Measurement

(2021) Antoine Essig et al.   Physical Review X

Deep reinforcement learning for efficient measurement of quantum devices

(2021) V. Nguyen et al.   npj Quantum Information

Measurement-Based Feedback Quantum Control with Deep Reinforcement Learning for a Double-Well Nonlinear Potential

(2021) Sangkha Borah et al.   PHYSICAL REVIEW LETTERS

Prospects of reinforcement learning for the simultaneous damping of many mechanical modes

(2020) Christian Sommer et al.   Scientific Reports

Using a Recurrent Neural Network to Reconstruct Quantum Dynamics of a Superconducting Qubit from Physical Observations

(2020) E. Flurin et al.   Physical Review X

Global optimization of quantum dynamics with AlphaZero deep exploration

(2020) Mogens Dalgaard et al.   npj Quantum Information

Deep Reinforcement Learning Control of Quantum Cartpoles

(2020) Zhikang T. Wang et al.   PHYSICAL REVIEW LETTERS

Universal quantum control through deep reinforcement learning

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

Efficiently measuring a quantum device using machine learning

(2019) D. T. Lennon et al.   npj Quantum Information

Generalizable control for quantum parameter estimation through reinforcement learning

(2019) Han Xu et al.   npj Quantum Information

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

Measurement-based quantum control of mechanical motion

(2018) Massimiliano Rossi et al.   NATURE

Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics

(2017) Pantita Palittapongarnpim et al.   NEUROCOMPUTING

Extending the lifetime of a quantum bit with error correction in superconducting circuits

(2016) Nissim Ofek et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Adaptive quantum computation in changing environments using projective simulation

(2015) M. Tiersch et al.   Scientific Reports

Adaptive Quantum Nondemolition Measurement of a Photon Number

(2014) B. Peaudecerf et al.   PHYSICAL REVIEW LETTERS

Quantum feedback experiments stabilizing Fock states of light in a cavity

(2013) B. Peaudecerf et al.   PHYSICAL REVIEW A

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

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

Persistent Control of a Superconducting Qubit by Stroboscopic Measurement Feedback

(2013) P. Campagne-Ibarcq et al.   Physical Review X

Field Locked to a Fock State by Quantum Feedback with Single Photon Corrections

(2012) X. Zhou et al.   PHYSICAL REVIEW LETTERS

Second order gradient ascent pulse engineering

(2011) P. de Fouquieres et al.   JOURNAL OF MAGNETIC RESONANCE

Real-time quantum feedback prepares and stabilizes photon number states

(2011) Clément Sayrin et al.   NATURE

Quantum non-demolition detection of single microwave photons in a circuit

(2010) B. R. Johnson et al.   Nature Physics

Experimental Feedback Control of Quantum Systems Using Weak Measurements

(2010) G. G. Gillett et al.   PHYSICAL REVIEW LETTERS

Machine Learning for Precise Quantum Measurement

(2010) Alexander Hentschel et al.   PHYSICAL REVIEW LETTERS