SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture

23 November 2022

Han Zheng

Christopher Kang

Gokul Subramanian Ravi

Frederic T. Chong

Papers citing "SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture"

25 / 25 papers shown

Title
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 44 88 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 59 92 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 44 74 0 14 Oct 2022
Stochastic noise can be helpful for variational quantum algorithms Junyu Liu Frederik Wilde A. A. Mele Liang Jiang Jens Eisert Jens Eisert 41 34 0 13 Oct 2022
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 42 24 0 30 Aug 2022
Laziness, Barren Plateau, and Noise in Machine Learning Junyu Liu Zexi Lin Liang Jiang 43 21 0 19 Jun 2022
Quantum Kerr Learning Junyu Liu Changchun Zhong M. Otten Anirban Chandra C. Cortes Chao-Wen Ti Stephen K Gray Xu Han 11 9 0 20 May 2022
Exploiting symmetry in variational quantum machine learning Johannes Jakob Meyer Marian Mularski Elies Gil-Fuster A. A. Mele F. Arzani Alissa Wilms Jens Eisert AAML 25 138 0 12 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 63 68 0 12 May 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 39 52 0 30 Mar 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 58 54 0 14 Dec 2021
Revisiting dequantization and quantum advantage in learning tasks Jordan S. Cotler Hsin-Yuan Huang Jarrod R. McClean 60 31 0 01 Dec 2021
Representation Learning via Quantum Neural Tangent Kernels Junyu Liu F. Tacchino Jennifer R. Glick Liang Jiang Antonio Mezzacapo 39 62 0 08 Nov 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 57 190 0 23 Sep 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 160 428 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 71 2,487 0 16 Dec 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 52 535 0 05 Oct 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 36 500 0 19 Aug 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 215 659 0 28 Jul 2020
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 64 423 0 06 Jun 2019
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 24 1,799 0 30 Apr 2018
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 37 2,004 0 28 Nov 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 102 1,917 0 24 Feb 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 230 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 655 99,991 0 04 Sep 2014