TensorNetwork for Machine Learning

7 June 2019

Papers citing "TensorNetwork for Machine Learning"

39 / 39 papers shown

Title
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA Lorenzo Borella Alberto Coppi J. Pazzini Andrea Stanco Marco Trenti Andrea Triossi M. Zanetti 47 1 0 24 Sep 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models Frederiek Wesel Kim Batselier 24 1 0 11 Sep 2023
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization Dheeraj Peddireddy Utkarsh Priyam Vaneet Aggarwal 14 2 0 08 Jul 2023
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout Hao Chen T. Barthel 48 7 0 30 May 2023
The cross-sectional stock return predictions via quantum neural network and tensor network N. Kobayashi Yoshiyuki Suimon Koichi Miyamoto K. Mitarai AIFin 22 2 0 25 Apr 2023
Grokking phase transitions in learning local rules with gradient descent Bojan Žunkovič E. Ilievski 63 16 0 26 Oct 2022
Deep tensor networks with matrix product operators Bojan Žunkovič 72 4 0 16 Sep 2022
Interaction Decompositions for Tensor Network Regression Ian Convy K. B. Whaley 14 6 0 11 Aug 2022
Stack operation of tensor networks Tianning Zhang Tianqi Chen Erping Li Bo Yang L. Ang GNN 15 2 0 28 Mar 2022
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data Jack Y. Araz M. Spannowsky 36 14 0 21 Feb 2022
Classical Simulation of Variational Quantum Classifiers using Tensor Rings Dheeraj Peddireddy V. Bansal Vaneet Aggarwal 18 11 0 21 Jan 2022
Tensor network to learn the wavefunction of data A. Dymarsky K. Pavlenko 21 6 0 15 Nov 2021
Differentiable Programming of Isometric Tensor Networks Chenhua Geng Hong-Ye Hu Yijian Zou 31 10 0 08 Oct 2021
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks Raghavendra Selvan Erik Dam Soren Alexander Flensborg Jens Petersen MedIm 35 2 0 15 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 82 0 01 Sep 2021
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations Yiwei Chen Y. Pan D. Dong 21 3 0 19 Aug 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity Wei-Ming Li Shi-Ju Ran 13 2 0 01 Jul 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States Jack Y. Araz M. Spannowsky 42 16 0 15 Jun 2021
Tensor Network for Supervised Learning at Finite Temperature Haoxiang Lin Shuqian Ye Xi Zhu 22 0 0 09 Apr 2021
Representation Theorem for Matrix Product States Erdong Guo D. Draper 23 1 0 15 Mar 2021
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 16 5 0 06 Mar 2021
Segmenting two-dimensional structures with strided tensor networks Raghavendra Selvan Erik Dam Jens Petersen 14 6 0 13 Feb 2021
An end-to-end trainable hybrid classical-quantum classifier Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 16 69 0 04 Feb 2021
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification Fanjie Kong Xiao-Yang Liu Ricardo Henao 24 13 0 08 Jan 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 26 12 0 22 Dec 2020
Grammar-aware sentence classification on quantum computers K. Meichanetzidis Alexis Toumi Giovanni de Felice B. Coecke GNN 20 27 0 07 Dec 2020
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models Dong Wang Yuewei Yang Chenyang Tao Zhe Gan Liqun Chen Fanjie Kong Ricardo Henao Lawrence Carin 37 0 0 06 Dec 2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 32 49 0 30 Nov 2020
Multi-layered tensor networks for image classification Raghavendra Selvan S. Orting Erik Dam 11 3 0 13 Nov 2020
Locally orderless tensor networks for classifying two- and three-dimensional medical images Raghavendra Selvan S. Orting Erik Dam 13 6 0 25 Sep 2020
Supervised Learning with Projected Entangled Pair States Song Cheng Lei Wang Pan Zhang 11 55 0 12 Sep 2020
Quantum-Classical Machine learning by Hybrid Tensor Networks Ding Liu Zekun Yao Quan Zhang 26 9 0 15 May 2020
Tensor Networks for Medical Image Classification Raghavendra Selvan Erik Dam 15 37 0 21 Apr 2020
A Tensor Network Approach to Finite Markov Decision Processes E. Gillman Dominic C. Rose J. P. Garrahan 19 4 0 12 Feb 2020
Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach A. Haliassos Kriton Konstantinidis Danilo P. Mandic 29 1 0 27 Jan 2020
SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State Beñat Mencia Uranga A. Lamacraft 20 3 0 26 Nov 2019
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 83 48 0 16 Oct 2019
Tensor-based algorithms for image classification Stefan Klus Patrick Gelß 16 31 0 04 Oct 2019
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 26 32 0 24 Mar 2018