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

Title
Quantum-Inspired Stacked Integrated Concept Graph Model (QISICGM) for Diabetes Risk Prediction Kenneth G. Young II 56 0 0 12 Sep 2025
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems Ibne Farabi Shihab Sanjeda Akter Anuj Sharma 253 0 0 06 May 2025
A Matrix Product State Model for Simultaneous Classification and Generation Alex Mossi Bojan Žunkovic Kyriakos Flouris 186 7 0 25 Jun 2024
FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction Gabriel Kulp Andrew Ensinger Lizhong Chen 151 3 0 25 Apr 2024
Entangling Machine Learning with Quantum Tensor Networks Constantijn van der Poel Dan Zhao 98 0 0 09 Jan 2024
Tensor networks for quantum machine learningProceedings of the Royal Society A (Proc. R. Soc. A), 2023 Hans-Martin Rieser Frank Köster A. Raulf 148 38 0 21 Mar 2023
Positive unlabeled learning with tensor networks Bojan Žunkovič SSL 245 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 246 22 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 172 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 274 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 174 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 266 14 0 21 Feb 2022
Neural Tangent Kernel of Matrix Product States: Convergence and Applications Erdong Guo D. Draper 143 2 0 28 Nov 2021
Learning Circular Hidden Quantum Markov Models: A Tensor Network ApproachIEEE Transactions on Quantum Engineering (IEEE TQE), 2021 Mohammad Ali Javidian Vaneet Aggarwal Z. Jacob 122 5 0 29 Oct 2021
Rademacher Random Projections with Tensor Networks Beheshteh T. Rakhshan Guillaume Rabusseau 241 5 0 26 Oct 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 205 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 45 10 0 25 Aug 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States Jack Y. Araz M. Spannowsky 240 17 0 15 Jun 2021
Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions D. Yevick DRL 152 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 245 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 129 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 233 5 0 21 Oct 2020
Supervised Learning with Projected Entangled Pair StatesPhysical review B (PRB), 2020 Song Cheng Lei Wang Pan Zhang 115 59 0 12 Sep 2020
Complexity for deep neural networks and other characteristics of deep feature representations R. Janik Przemek Witaszczyk 189 7 0 08 Jun 2020
Anomaly Detection with Tensor Networks Jinhui Wang Chase Roberts G. Vidal Stefan Leichenauer 178 43 0 03 Jun 2020
Deep convolutional tensor network Philip Blagoveschensky Anh-Huy Phan 155 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 177 49 0 16 Oct 2019
Tensor-based algorithms for image classification Stefan Klus Patrick Gelß 157 33 0 04 Oct 2019
TensorNetwork for Machine Learning Stavros Efthymiou Jack Hidary Stefan Leichenauer 152 72 0 07 Jun 2019
Number-State Preserving Tensor Networks as Classifiers for Supervised LearningFrontiers of Physics (FP), 2019 G. Evenbly 113 12 0 15 May 2019
Matrix Product State Based Quantum ClassifierNeural Computation (Neural Comput.), 2019 A. Bhatia M. Saggi Ajay Kumar Sushma Jain 208 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 202 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 137 112 0 03 May 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 182 142 0 08 Jan 2019
A Support Tensor Train Machine Cong Chen Kim Batselier Ching-Yun Ko Ngai Wong 100 25 0 17 Apr 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 209 105 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 124 15 0 04 Nov 2017
Tensor network language model V. Pestun Yiannis Vlassopoulos 218 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 330 241 0 11 Oct 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 236 289 0 06 Sep 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine David Yakira Nadav Cohen Amnon Shashua 231 131 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 206 49 0 20 Dec 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 422 626 0 29 Aug 2016