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Machine learning and quantum devices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00344251openalex-snapshot
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1007/bf01931367openalex-snapshot
Taylor expansion of the accumulated rounding error
inferredcites →https://doi.org/10.1007/bf02551274openalex-snapshot
Approximation by superpositions of a sigmoidal function
inferredcites →https://doi.org/10.1016/0893-6080(89)90014-2openalex-snapshot
Neural networks and principal component analysis: Learning from examples without local minima
inferredcites →https://doi.org/10.1016/j.jmr.2004.11.004openalex-snapshot
Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms
inferredcites →https://doi.org/10.1016/j.physrep.2019.03.001openalex-snapshot
A high-bias, low-variance introduction to Machine Learning for physicists
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1038/nature24270openalex-snapshot
Mastering the game of Go without human knowledge
inferredcites →https://doi.org/10.1038/nphys3029openalex-snapshot
Quantum principal component analysis
inferredcites →https://doi.org/10.1038/s41534-019-0141-3openalex-snapshot
Universal Quantum Control through Deep Reinforcement Learning
inferredcites →https://doi.org/10.1038/s41534-019-0193-4openalex-snapshot
Efficiently measuring a quantum device using machine learning
inferredcites →https://doi.org/10.1038/s41598-017-11266-1openalex-snapshot
Deep Neural Network Probabilistic Decoder for Stabilizer Codes
inferredcites →https://doi.org/10.1038/srep00400openalex-snapshot
Projective simulation for artificial intelligence
inferredcites →https://doi.org/10.1073/pnas.1714936115openalex-snapshot
Active learning machine learns to create new quantum experiments
inferredcites →https://doi.org/10.1080/00107514.2014.964942openalex-snapshot
An introduction to quantum machine learning
inferredcites →https://doi.org/10.1088/1361-6633/aab406openalex-snapshot
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
inferredcites →https://doi.org/10.1098/rspa.2017.0551openalex-snapshot
Quantum machine learning: a classical perspective
inferredcites →https://doi.org/10.1103/physreva.79.052115openalex-snapshot
Quantum nondemolition photon detection in circuit QED and the quantum Zeno effect
inferredcites →https://doi.org/10.1103/physreva.96.062327openalex-snapshot
Tomography and generative training with quantum Boltzmann machines
inferredcites →https://doi.org/10.1103/physrevapplied.10.044033openalex-snapshot
Experimental Phase Estimation Enhanced by Machine Learning
inferredcites →https://doi.org/10.1103/physrevlett.104.063603openalex-snapshot
Machine Learning for Precise Quantum Measurement
inferredcites →https://doi.org/10.1103/physrevlett.116.090405openalex-snapshot
Automated Search for new Quantum Experiments
inferredcites →https://doi.org/10.1103/physrevlett.117.130501openalex-snapshot
Quantum-Enhanced Machine Learning
inferredcites →https://doi.org/10.1103/physrevlett.119.030501openalex-snapshot
Neural Decoder for Topological Codes
inferredcites →https://doi.org/10.1103/physrevlett.121.150503openalex-snapshot
Machine-Learning-Assisted Many-Body Entanglement Measurement
inferredcites →https://doi.org/10.1103/physrevx.10.011006openalex-snapshot
Using a Recurrent Neural Network to Reconstruct Quantum Dynamics of a Superconducting Qubit from Physical Observations
inferredcites →https://doi.org/10.1103/physrevx.8.031084openalex-snapshot
Reinforcement Learning with Neural Networks for Quantum Feedback
inferredcites →https://doi.org/10.1103/physrevx.8.031086openalex-snapshot
Reinforcement Learning in Different Phases of Quantum Control
inferredcites →https://doi.org/10.1103/revmodphys.91.045002openalex-snapshot
Machine learning and the physical sciences
inferredcites →https://doi.org/10.1109/msp.2017.2743240openalex-snapshot
Deep Reinforcement Learning: A Brief Survey
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1207/s15516709cog0901_7openalex-snapshot
A Learning Algorithm for Boltzmann Machines*
inferredcites →https://doi.org/10.22331/q-2018-01-29-48openalex-snapshot
Machine-learning-assisted correction of correlated qubit errors in a topological code
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119759614.ch9openalex-snapshot
Artificial Neural Networks for Classification
inferred← citeshttps://doi.org/10.1002/qute.202300329openalex-snapshot
Quantum Metrology Assisted by Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-87931-9_6openalex-snapshot
Deep Dive into Generative, Federative and Explainable Models for Integrating Artificial General Intelligence into Quantum Computing
inferred← citeshttps://doi.org/10.1007/s42484-021-00052-yopenalex-snapshot
Training Gaussian boson sampling by quantum machine learning
inferred← citeshttps://doi.org/10.1017/s0960129523000373openalex-snapshot
Learning quantum finite automata with queries
inferred← citeshttps://doi.org/10.1038/s41534-023-00766-wopenalex-snapshot
Quantum logic gate synthesis as a Markov decision process
inferred← citeshttps://doi.org/10.1038/s41598-024-84171-zopenalex-snapshot
Error mitigation in brainbox quantum autoencoders
inferred← citeshttps://doi.org/10.1049/qtc2.12094openalex-snapshot
Advances in artificial intelligence and machine learning for quantum communication applications
inferred← citeshttps://doi.org/10.1088/1361-6404/ac5becopenalex-snapshot
Exploring Fresnel diffraction at a straight edge with a neural network
inferred← citeshttps://doi.org/10.1088/1572-9494/ade49copenalex-snapshot
Neural network-based decoding for bias-tailored quantum codes over quantum channels with asymmetric noise
inferred← citeshttps://doi.org/10.1088/2632-2153/ad2cf1openalex-snapshot
Spectral density classification for environment spectroscopy
inferred← citeshttps://doi.org/10.1088/2632-2153/ad9193openalex-snapshot
Noise classification in three-level quantum networks by Machine Learning
inferred← citeshttps://doi.org/10.1103/6m8t-r5qkopenalex-snapshot
Metalearning characteristics and dynamics of quantum systems
inferred← citeshttps://doi.org/10.1103/physreva.106.013518openalex-snapshot
Variational quantum algorithm for Gaussian discrete solitons and their boson sampling
inferred← citeshttps://doi.org/10.1103/physreva.107.010101openalex-snapshot
Artificial intelligence and machine learning for quantum technologies
inferred← citeshttps://doi.org/10.1103/physreva.109.013104openalex-snapshot
Re-exploring control strategies in a non-Markovian open quantum system by reinforcement learning
inferred← citeshttps://doi.org/10.1103/physreva.109.062609openalex-snapshot
Applications of model-aware reinforcement learning in Bayesian quantum metrology
inferred← citeshttps://doi.org/10.1103/physrevapplied.22.054071openalex-snapshot
Deep reinforcement learning for radiative heat transfer optimization problems
inferred← citeshttps://doi.org/10.1103/physrevb.105.075425openalex-snapshot
Deep learning of deformation-dependent conductance in thin films: Nanobubbles in graphene
inferred← citeshttps://doi.org/10.1103/prxquantum.6.020317openalex-snapshot
Discovering Local Hidden-Variable Models for Arbitrary Multipartite Entangled States and Arbitrary Measurements
inferred← citeshttps://doi.org/10.1116/5.0217675openalex-snapshot
Fully quantum algorithm for mesoscale fluid simulations with application to partial differential equations
inferred← citeshttps://doi.org/10.1117/12.2646223openalex-snapshot
Application of machine learning to overcome challenges of generating phase masks for dynamic beam shaping in complex optical systems
inferred← citeshttps://doi.org/10.1140/epjs/s11734-025-01954-9openalex-snapshot
A machine learning based approach to the identification of spectral densities in quantum open systems
inferred← citeshttps://doi.org/10.1142/s021773232650104xopenalex-snapshot
Quantum secure direct communication: The quest for machine learning
inferred← citeshttps://doi.org/10.22331/q-2024-12-10-1555openalex-snapshot
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
inferred← citeshttps://doi.org/10.4271/2024-01-4066openalex-snapshot
Graphical Networks and Motion Detection
inferred← citeshttps://doi.org/10.70675/c32ea9edze333z4de6z900az5571678f3344openalex-snapshot
Quantum transport in two-dimensional systems : artificial intelligence applied to material science
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