Deep reinforcement learning for efficient measurement of quantum devices

A singlet-triplet hole spin qubit in planar Ge

(2021) Daniel Jirovec et al.   NATURE MATERIALS

Improving the dynamics of quantum sensors with reinforcement learning

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

Autonomous Tuning and Charge-State Detection of Gate-Defined Quantum Dots

(2020) J. Darulová et al.   Physical Review Applied

Autotuning of Double-Dot Devices In Situ with Machine Learning

(2020) Justyna P. Zwolak et al.   Physical Review Applied

Automated Tuning of Double Quantum Dots into Specific Charge States Using Neural Networks

(2020) R. Durrer et al.   Physical Review Applied

Sensitive radiofrequency readout of quantum dots using an ultra-low-noise SQUID amplifier

(2020) F. J. Schupp et al.   JOURNAL OF APPLIED PHYSICS

Quantum device fine-tuning using unsupervised embedding learning

(2020) N M van Esbroeck et al.   NEW JOURNAL OF PHYSICS

Closed-loop control of a GaAs-based singlet-triplet spin qubit with 99.5% gate fidelity and low leakage

(2020) Pascal Cerfontaine et al.   Nature Communications

Machine learning enables completely automatic tuning of a quantum device faster than human experts

(2020) H. Moon et al.   Nature Communications

Machine learning techniques for state recognition and auto-tuning in quantum dots

(2019) Sandesh S. Kalantre et al.   npj Quantum Information

A machine learning approach for automated fine-tuning of semiconductor spin qubits

(2019) Julian D. Teske et al.   APPLIED PHYSICS LETTERS

Fidelity benchmarks for two-qubit gates in silicon

(2019) W. Huang et al.   NATURE

Spectroscopy of Quantum Dot Orbitals with In-Plane Magnetic Fields

(2019) Leon C. Camenzind et al.   PHYSICAL REVIEW LETTERS

Rapid Detection of Coherent Tunneling in an InAs Nanowire Quantum Dot through Dispersive Gate Sensing

(2019) Damaz de Jong et al.   Physical Review Applied

Loading a quantum-dot based “Qubyte” register

(2019) C. Volk et al.   npj Quantum Information

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

Reality, fantasy and civility in molecular assemblers

(2018) Chris Toumey   Nature Nanotechnology

Machine Learning Detection of Bell Nonlocality in Quantum Many-Body Systems

(2018) Dong-Ling Deng   PHYSICAL REVIEW LETTERS

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

(2018) Justyna P. Zwolak et al.   PLoS One

Hyperfine-phonon spin relaxation in a single-electron GaAs quantum dot

(2018) Leon C. Camenzind et al.   Nature Communications

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

(2018) David Silver et al.   SCIENCE

Level Spectrum and Charge Relaxation in a Silicon Double Quantum Dot Probed by Dual-Gate Reflectometry

(2017) Alessandro Crippa et al.   NANO LETTERS

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

(2017) Pantita Palittapongarnpim et al.   NEUROCOMPUTING

Resonantly driven CNOT gate for electron spins

(2017) D. M. Zajac et al.   SCIENCE

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

Efficient representation of quantum many-body states with deep neural networks

(2017) Xun Gao et al.   Nature Communications

Computer-automated tuning of semiconductor double quantum dots into the single-electron regime

(2016) T. A. Baart et al.   APPLIED PHYSICS LETTERS

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

(2016) David Silver et al.   NATURE

Notch filtering the nuclear environment of a spin qubit

(2016) Filip K. Malinowski et al.   Nature Nanotechnology

Sensitive Radio-Frequency Measurements of a Quantum Dot by Tuning to Perfect Impedance Matching

(2016) N. Ares et al.   Physical Review Applied

A two-qubit logic gate in silicon

(2015) M. Veldhorst et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

An addressable quantum dot qubit with fault-tolerant control-fidelity

(2014) M. Veldhorst et al.   Nature Nanotechnology

Self-consistent measurement and state tomography of an exchange-only spin qubit

(2013) J. Medford et al.   Nature Nanotechnology

Radio frequency charge sensing in InAs nanowire double quantum dots

(2012) M. Jung et al.   APPLIED PHYSICS LETTERS

Coherent spin manipulation in an exchange-only qubit

(2010) E. A. Laird et al.   PHYSICAL REVIEW B