Group-Invariant Quantum Machine Learning

4 May 2022

Guillaume Verdon

Papers citing "Group-Invariant Quantum Machine Learning"

45 / 45 papers shown

Title
K-P Quantum Neural Networks Elija Perrier 40 0 0 02 Apr 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks Arthur M. Faria Ignacio F. Graña Savvas Varsamopoulos GNN 62 0 0 31 Mar 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 50 0 0 17 Feb 2025
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 34 1 0 02 Oct 2024
Reverse Map Projections as Equivariant Quantum Embeddings Max Arnott Dimitri Papaioannou Kieran McDowall Phalgun Lolur Bambordé Baldé 35 1 0 29 Jul 2024
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches Y. Cordero S. Biswas F. Vilarino M. Bilkis VLM 34 0 0 08 Jul 2024
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
Probing many-body Bell correlation depth with superconducting qubits Ke Wang Weikang Li Shibo Xu Mengyao Hu Jiachen Chen ... Patrick Emonts Jordi Tura Chao Song H. Wang Dong-Ling Deng 44 7 0 25 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
Graph Neural Networks on Quantum Computers Yidong Liao Xiao-Ming Zhang Chris Ferrie GNN 37 4 0 27 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 43 2 0 28 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
Better than classical? The subtle art of benchmarking quantum machine learning models Joseph Bowles Shahnawaz Ahmed Maria Schuld 42 64 0 11 Mar 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning Eric R. Anschuetz Xun Gao 45 4 0 13 Feb 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
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
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images Su Yeon Chang Michele Grossi B. L. Saux S. Vallecorsa 51 13 0 03 Oct 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
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 48 1 0 19 Sep 2023
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks R. D. East Guillermo Alonso-Linaje Chae-Yeun Park 16 13 0 13 Sep 2023
A quantum tug of war between randomness and symmetries on homogeneous spaces Rahul Arvind Kishor Bharti Jun Yong Khoo D. E. Koh Jian Feng Kong 41 1 0 11 Sep 2023
Parallel-in-time quantum simulation via Page and Wootters quantum time N. L. Diaz Paolo Braccia Martín Larocca J. Matera R. Rossignoli M. Cerezo 30 7 0 24 Aug 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 38 45 0 23 Jun 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data Koki Chinzei Quoc Hoan Tran Kazunori Maruyama H. Oshima S. Sato 33 10 0 12 Jun 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 26 25 0 29 Mar 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
On the universality of $S_n$ -equivariant $k$ -body gates S. Kazi Martín Larocca M. Cerezo 48 19 0 01 Mar 2023
Thermodynamic AI and the fluctuation frontier Patrick J. Coles Collin Szczepanski Denis Melanson Kaelan Donatella Antonio J. Martinez Faris M. Sbahi AI4CE 40 16 0 09 Feb 2023
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating I. Nikoloska Osvaldo Simeone L. Banchi Petar Velickovic GNN 31 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
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 37 1 0 14 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
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 34 24 0 30 Aug 2022
Learning quantum symmetries with interactive quantum-classical variational algorithms Jonathan Z. Lu R. A. Bravo Kaiying Hou Gebremedhin A. Dagnew S. Yelin K. Najafi 30 3 0 23 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
Mitigating barren plateaus of variational quantum eigensolvers Xia Liu Geng-yang Liu Jiaxin Huang Hao-Kai Zhang Xin Wang 37 40 0 26 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 26 68 0 12 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
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 38 48 0 04 Nov 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 40 11 0 23 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 423 0 06 Jan 2021