Setting Up Experimental Bell Tests with Reinforcement Learning

Programming multi-level quantum gates in disordered computing reservoirs via machine learning

(2020) Giulia Marcucci et al.   OPTICS EXPRESS

Experimental hybrid quantum-classical reinforcement learning by boson sampling: how to train a quantum cloner

(2019) Jan Jašek et al.   OPTICS EXPRESS

Designing quantum experiments with a genetic algorithm

(2019) Rosanna Nichols et al.   Quantum Science and Technology

Predicting quantum advantage by quantum walk with convolutional neural networks

(2019) Alexey A Melnikov et al.   NEW JOURNAL OF PHYSICS

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Active learning machine learns to create new quantum experiments

(2018) Alexey A. Melnikov et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Machine learning & artificial intelligence in the quantum domain: a review of recent progress

(2018) Vedran Dunjko et al.   REPORTS ON PROGRESS IN PHYSICS

Device-independent quantum random-number generation

(2018) Yang Liu et al.   NATURE

Randomness Extraction from Bell Violation with Continuous Parametric Down-Conversion

(2018) Lijiong Shen et al.   PHYSICAL REVIEW LETTERS

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

(2018) David Silver et al.   SCIENCE

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Quantum random number generators

(2017) Miguel Herrero-Collantes et al.   REVIEWS OF MODERN PHYSICS

Projective simulation with generalization

(2017) Alexey A. Melnikov et al.   Scientific Reports

A search algorithm for quantum state engineering and metrology

(2016) P A Knott   NEW JOURNAL OF PHYSICS

Automated Search for new Quantum Experiments

(2016) Mario Krenn et al.   PHYSICAL REVIEW LETTERS

Meta-learning within Projective Simulation

(2016) Adi Makmal et al.   IEEE Access

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Projective Simulation for Classical Learning Agents: A Comprehensive Investigation

(2015) Julian Mautner et al.   NEW GENERATION COMPUTING

Strong Loophole-Free Test of Local Realism

(2015) Lynden K. Shalm et al.   PHYSICAL REVIEW LETTERS

Significant-Loophole-Free Test of Bell’s Theorem with Entangled Photons

(2015) Marissa Giustina et al.   PHYSICAL REVIEW LETTERS

The ultimate physical limits of privacy

(2014) Artur Ekert et al.   NATURE

Continuous Variable Quantum Information: Gaussian States and Beyond

(2014) Gerardo Adesso et al.   OPEN SYSTEMS & INFORMATION DYNAMICS

Bell nonlocality

(2014) Nicolas Brunner et al.   REVIEWS OF MODERN PHYSICS

Bell violation using entangled photons without the fair-sampling assumption

(2013) Marissa Giustina et al.   NATURE

Detection-Loophole-Free Test of Quantum Nonlocality, and Applications

(2013) B. G. Christensen et al.   PHYSICAL REVIEW LETTERS

Robust nonlocality tests with displacement-based measurements

(2012) Jonatan Bohr Brask et al.   PHYSICAL REVIEW A

Gaussian quantum information

(2012) Christian Weedbrook et al.   REVIEWS OF MODERN PHYSICS

Projective simulation for artificial intelligence

(2012) Hans J. Briegel et al.   Scientific Reports