QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks

6 October 2021

Papers citing "QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks"

26 / 26 papers shown

Title
Learning to Program Quantum Measurements for Machine Learning Samuel Yen-Chi Chen Huan-Hsin Tseng Hsin-Yi Lin Shinjae Yoo 108 0 0 18 May 2025
Learning to Measure Quantum Neural Networks Samuel Yen-Chi Chen Huan-Hsin Tseng Hsin-Yi Lin Shinjae Yoo 72 5 0 10 Jan 2025
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits Hanrui Wang Yongshan Ding Jiaqi Gu Zirui Li Chengyue Wu David Z. Pan Frederic T. Chong Song Han 69 180 0 22 Jul 2021
Reinforcement learning for optimization of variational quantum circuit architectures M. Ostaszewski Lea M. Trenkwalder Wojciech Masarczyk Eleanor Scerri Vedran Dunjko 59 141 0 30 Mar 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 76 49 0 30 Nov 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 74 645 0 03 Nov 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Pin-Yu Chen Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee FedML 55 127 0 26 Oct 2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement Jun Qi Hu Hu Yannan Wang Chao-Han Huck Yang Sabato Marco Siniscalchi Chin-Hui Lee 133 11 0 25 Jul 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 44 111 0 20 Mar 2020
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network Jun Qi Hu Hu Yannan Wang Chao-Han Huck Yang Sabato Marco Siniscalchi Chin-Hui Lee 3DV 34 21 0 03 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 444 42,393 0 03 Dec 2019
Variational Quantum Circuits for Deep Reinforcement Learning Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 81 306 0 30 Jun 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 80 891 0 18 Jun 2019
Differentiable Learning of Quantum Circuit Born Machine Jin-Guo Liu Lei Wang 74 231 0 11 Apr 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 97 345 0 30 Mar 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 69 1,816 0 29 Mar 2018
An efficient quantum algorithm for generative machine learning Xun Gao Zhengyu Zhang L. Duan 56 25 0 06 Nov 2017
Long-term Forecasting using Higher Order Tensor RNNs Rose Yu Stephan Zheng Anima Anandkumar Yisong Yue AI4TS 50 133 0 31 Oct 2017
Tensor-Train Recurrent Neural Networks for Video Classification Yinchong Yang Denis Krompass Volker Tresp 68 243 0 06 Jul 2017
Compressing Recurrent Neural Network with Tensor Train Andros Tjandra S. Sakti Satoshi Nakamura 57 110 0 23 May 2017
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 61 190 0 10 Nov 2016
Quantum-enhanced machine learning Vedran Dunjko Jacob M. Taylor Hans J. Briegel 49 373 0 26 Oct 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,477 0 24 Feb 2016
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 92 882 0 22 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 151 5,006 0 21 Dec 2013