Representation Theory for Geometric Quantum Machine Learning

Representation Theory for Geometric Quantum Machine Learning

14 October 2022

Quynh T. Nguyen

Patrick J. Coles

Martín Larocca

Papers citing "Representation Theory for Geometric Quantum Machine Learning"

14 / 14 papers shown

Title
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 34 0 0 17 Feb 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 42 1 0 26 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 16 5 0 04 Jun 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 28 4 0 21 Mar 2024
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 22 123 0 14 Dec 2023
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 14 83 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 20 88 0 16 Oct 2022
Automatic and effective discovery of quantum kernels Massimiliano Incudini Daniele Lizzio Bosco F. Martini Michele Grossi Giuseppe Serra Alessandra Di Pierro 23 4 0 22 Sep 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 25 73 0 28 Jan 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 36 54 0 14 Dec 2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations Grecia Castelazo Quynh T. Nguyen Giacomo De Palma Dirk Englund S. Lloyd B. Kiani 15 12 0 23 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 118 420 0 06 Jan 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018