Exploiting symmetry in variational quantum machine learning

12 May 2022

Papers citing "Exploiting symmetry in variational quantum machine learning"

20 / 20 papers shown

Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen Huan-Hsin Tseng Shinjae Yoo 29 0 0 13 May 2025
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 60 2 0 26 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 Jun 2024
Layered Uploading for Quantum Convolutional Neural Networks Grégoire Barrué Tony Quertier Orlane Zang 92 0 0 15 Apr 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention Ethan N. Evans Matthew G. Cook Zachary P. Bradshaw Margarite L. LaBorde 48 5 0 21 Mar 2024
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 27 5 0 20 Dec 2023
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 46 128 0 14 Dec 2023
$$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks$ $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Zhongtian Dong Marçal Comajoan Cara Gopal Ramesh Dahale Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 25 5 0 30 Nov 2023
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks Roy T. Forestano Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu GNN 29 8 0 30 Nov 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 30 12 0 20 Sep 2023
Quantum Neural Estimation of Entropies Ziv Goldfeld Dhrumil Patel Sreejith Sreekumar Mark M. Wilde 35 9 0 03 Jul 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 38 45 0 23 Jun 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 19 404 0 16 Mar 2023
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating I. Nikoloska Osvaldo Simeone L. Banchi Petar Velickovic GNN 34 3 0 19 Jan 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
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
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 40 89 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 28 73 0 14 Oct 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 19 11 0 15 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 29 81 0 07 Jun 2022