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Supervised Learning with Quantum-Inspired Tensor Networks

18 May 2016

Papers citing "Supervised Learning with Quantum-Inspired Tensor Networks"

46 / 46 papers shown

Title
Quantum-Inspired Stacked Integrated Concept Graph Model (QISICGM) for Diabetes Risk Prediction Kenneth G. Young II 52 0 0 12 Sep 2025
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems Ibne Farabi Shihab Sanjeda Akter Anuj Sharma 229 0 0 06 May 2025
A Matrix Product State Model for Simultaneous Classification and Generation Alex Mossi Bojan Žunkovic Kyriakos Flouris 182 7 0 25 Jun 2024
Entangling Machine Learning with Quantum Tensor Networks Constantijn van der Poel Dan Zhao 86 0 0 09 Jan 2024
Positive unlabeled learning with tensor networks Bojan Žunkovič SSL 233 7 0 25 Nov 2022
Grokking phase transitions in learning local rules with gradient descentJournal of machine learning research (JMLR), 2022 Bojan Žunkovič E. Ilievski 242 21 0 26 Oct 2022
Deep tensor networks with matrix product operatorsQuantum Machine Intelligence (QMI), 2022 Bojan Žunkovič 162 6 0 16 Sep 2022
Group-invariant tensor train networks for supervised learningSIAM Journal on Mathematics of Data Science (SIMODS), 2022 Brent Sprangers N. Vannieuwenhoven 160 1 0 30 Jun 2022
Position: Tensor Networks are a Valuable Asset for Green AIInternational Conference on Machine Learning (ICML), 2022 Eva Memmel Clara Menzen Jetze T. Schuurmans Frederiek Wesel Kim Batselier 246 9 0 25 May 2022
High-Order Pooling for Graph Neural Networks with Tensor DecompositionNeural Information Processing Systems (NeurIPS), 2022 Chenqing Hua Guillaume Rabusseau Jian Tang 170 35 0 24 May 2022
Optimizing Tensor Network Contraction Using Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 E. Meirom Haggai Maron Shie Mannor Gal Chechik 133 19 0 18 Apr 2022
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data Jack Y. Araz M. Spannowsky 246 14 0 21 Feb 2022
Learning Circular Hidden Quantum Markov Models: A Tensor Network ApproachIEEE Transactions on Quantum Engineering (IEEE TQE), 2021 Mohammad Ali Javidian Vaneet Aggarwal Z. Jacob 118 5 0 29 Oct 2021
Rademacher Random Projections with Tensor Networks Beheshteh T. Rakhshan Guillaume Rabusseau 237 5 0 26 Oct 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 173 18 0 14 Sep 2021
Quantum Machine Learning for Health State Diagnosis and PrognosticsReliability and Maintainability Symposium (RAMS), 2021 G. S. Martín E. Droguett AI4CE 37 10 0 25 Aug 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States Jack Y. Araz M. Spannowsky 196 17 0 15 Jun 2021
Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions D. Yevick DRL 144 7 0 13 Apr 2021
An end-to-end trainable hybrid classical-quantum classifier Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 233 85 0 04 Feb 2021
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional DataNeurocomputing (Neurocomputing), 2021 M. N. D. Costa R. Attux A. Cichocki J. Romano 125 3 0 22 Jan 2021
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 231 54 0 30 Nov 2020
Quantum Deformed Neural Networks Roberto Bondesan Max Welling AI4CE 214 5 0 21 Oct 2020
Supervised Learning with Projected Entangled Pair StatesPhysical review B (PRB), 2020 Song Cheng Lei Wang Pan Zhang 107 59 0 12 Sep 2020
Complexity for deep neural networks and other characteristics of deep feature representations R. Janik Przemek Witaszczyk 169 7 0 08 Jun 2020
Anomaly Detection with Tensor Networks Jinhui Wang Chase Roberts G. Vidal Stefan Leichenauer 170 42 0 03 Jun 2020
Deep convolutional tensor network Philip Blagoveschensky Anh-Huy Phan 147 3 0 29 May 2020
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability T. Hubregtsen Josef Pichlmeier Patrick Stecher K. Bertels 110 13 0 22 Mar 2020
A Multi-Scale Tensor Network Architecture for Classification and Regression J. Reyes Miles E. Stoudenmire 123 28 0 22 Jan 2020
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 161 49 0 16 Oct 2019
Tensor-based algorithms for image classification Stefan Klus Patrick Gelß 149 33 0 04 Oct 2019
TensorNetwork for Machine Learning Stavros Efthymiou Jack Hidary Stefan Leichenauer 148 72 0 07 Jun 2019
Number-State Preserving Tensor Networks as Classifiers for Supervised LearningFrontiers of Physics (FP), 2019 G. Evenbly 105 12 0 15 May 2019
Matrix Product State Based Quantum ClassifierNeural Computation (Neural Comput.), 2019 A. Bhatia M. Saggi Ajay Kumar Sushma Jain 200 49 0 04 May 2019
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks A. Milsted M. Ganahl Stefan Leichenauer Jack Hidary G. Vidal 182 16 0 03 May 2019
TensorNetwork: A Library for Physics and Machine Learning Chase Roberts A. Milsted M. Ganahl Adam Zalcman Bruce Fontaine Yijian Zou Jack Hidary G. Vidal Stefan Leichenauer AI4CE PINN 133 112 0 03 May 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 170 140 0 08 Jan 2019
A Support Tensor Train Machine Cong Chen Kim Batselier Ching-Yun Ko Ngai Wong 96 24 0 17 Apr 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 193 105 0 12 Dec 2017
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz A. Hallam Edward Grant V. Stojevic Simone Severini A. Green 193 9 0 09 Nov 2017
Language as a matrix product state V. Pestun John Terilla Yiannis Vlassopoulos 120 15 0 04 Nov 2017
Tensor network language model V. Pestun Yiannis Vlassopoulos 202 36 0 27 Oct 2017
Neural-Network Quantum States, String-Bond States, and Chiral Topological States I. Glasser Nicola Pancotti Moritz August I. D. Rodriguez J. I. Cirac 306 240 0 11 Oct 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 216 287 0 06 Sep 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine David Yakira Nadav Cohen Amnon Shashua 219 131 0 05 Apr 2017
Parallelized Tensor Train Learning of Polynomial ClassifiersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016 Zhongming Chen Kim Batselier Johan A. K. Suykens Ngai Wong 182 49 0 20 Dec 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 394 626 0 29 Aug 2016