The dilemma of quantum neural networks

9 June 2021

Papers citing "The dilemma of quantum neural networks"

35 / 35 papers shown

Title
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 49 103 0 07 Jun 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 114 75 0 31 Mar 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 57 22 0 17 Feb 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 146 372 0 26 Jan 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 80 43 0 15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 114 222 0 07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 204 431 0 06 Jan 2021
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 107 2,537 0 16 Dec 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 99 653 0 03 Nov 2020
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 118 761 0 30 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image Generation Heliang Huang Yuxuan Du Mingming Gong You-Wei Zhao Yulin Wu ... Chao Lu Yu-Ao Chen Dacheng Tao Xiaobo Zhu Jian-Wei Pan GAN 50 180 0 13 Oct 2020
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation Debanjan Konar S. Bhattacharyya B. K. Panigrahi E. Behrman 31 43 0 14 Sep 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 74 520 0 19 Aug 2020
Recurrent Quantum Neural Networks Johannes Bausch 57 155 0 25 Jun 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 61 242 0 03 Mar 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 127 169 0 19 Dec 2019
A quantum active learning algorithm for sampling against adversarial attacks Pablo Antonio Moreno Casares M. Martin-Delgado AAML 44 10 0 06 Dec 2019
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 544 42,591 0 03 Dec 2019
Quantum Natural Gradient J. Stokes J. Izaac N. Killoran Giuseppe Carleo 54 409 0 04 Sep 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 107 895 0 18 Jun 2019
Efficient Learning for Deep Quantum Neural Networks Kerstin Beer Dmytro Bondarenko Terry Farrelly T. Osborne Robert Salzmann Ramona Wolf 65 563 0 27 Feb 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 201 775 0 12 Nov 2018
A Grover-search Based Quantum Learning Scheme for Classification Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 56 38 0 17 Sep 2018
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 84 1,833 0 30 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 95 1,825 0 29 Mar 2018
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 103 460 0 16 Oct 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 162 1,259 0 27 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,685 0 08 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 348 4,635 0 10 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 429 2,945 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 249 3,225 0 15 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 143 1,059 0 06 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014