Symmetric Pruning in Quantum Neural Networks

30 August 2022

Papers citing "Symmetric Pruning in Quantum Neural Networks"

22 / 22 papers shown

Title
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks Mohamed Afane Gabrielle Ebbrecht Ying Wang Juntao Chen Junaid Farooq 34 0 0 26 Mar 2025
Quantum-data-driven dynamical transition in quantum learning Bingzhi Zhang Junyu Liu Liang Jiang Quntao Zhuang 34 1 0 02 Oct 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 28 0 0 27 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 42 2 0 22 Aug 2024
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem Xinbiao Wang Yuxuan Du Kecheng Liu Yong Luo Bo Du Dacheng Tao 30 1 0 12 May 2024
Symmetry-invariant quantum machine learning force fields Isabel Nha Minh Le Oriel Kiss Julian Schuhmacher I. Tavernelli F. Tacchino AI4CE 33 12 0 19 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 35 7 0 08 Nov 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 26 4 0 26 Sep 2023
Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI Motohisa Fukuda 24 1 0 03 Sep 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 34 10 0 26 Mar 2023
Effects of noise on the overparametrization of quantum neural networks Diego García-Martín Martín Larocca M. Cerezo 30 17 0 10 Feb 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 41 22 0 29 Dec 2022
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning Massimiliano Incudini Michele Grossi Antonio Mandarino S. Vallecorsa Alessandra Di Pierro David Windridge 33 6 0 22 Dec 2022
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture Han Zheng Christopher Kang Gokul Subramanian Ravi Hanrui Wang Kanav Setia Frederic T. Chong Junyu Liu 19 11 0 23 Nov 2022
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 29 5 0 02 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 39 84 0 18 Oct 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 58 34 0 25 May 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 53 54 0 14 Dec 2021
Classical symmetries and the Quantum Approximate Optimization Algorithm Ruslan Shaydulin Stuart Hadfield Tad Hogg Ilya Safro 33 61 0 08 Dec 2020
Quantum circuit architecture search for variational quantum algorithms Yuxuan Du Tao Huang Shan You Min-hsiu Hsieh Dacheng Tao 44 133 0 20 Oct 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 138 655 0 28 Jul 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020