Theory for Equivariant Quantum Neural Networks

16 October 2022

Papers citing "Theory for Equivariant Quantum Neural Networks"

47 / 47 papers shown

Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen H. Tseng Shinjae Yoo 29 0 0 13 May 2025
K-P Quantum Neural Networks Elija Perrier 38 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
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Lie-Equivariant Quantum Graph Neural Networks Jogi Suda Neto Roy T. Forestano S. Gleyzer K. Kong Konstantin T. Matchev Katia Matcheva 93 0 0 22 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. Mridha Nilanjan Dey 48 1 0 03 Nov 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 40 1 0 07 Oct 2024
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 29 1 0 02 Oct 2024
Scalable quantum dynamics compilation via quantum machine learning Yuxuan Zhang R. Wiersema Juan Carrasquilla Lukasz Cincio Yong Baek Kim 32 2 0 24 Sep 2024
Reverse Map Projections as Equivariant Quantum Embeddings Max Arnott Dimitri Papaioannou Kieran McDowall Phalgun Lolur Bambordé Baldé 32 1 0 29 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
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
Architectures and random properties of symplectic quantum circuits Diego García-Martín Paolo Braccia M. Cerezo 42 6 0 16 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 43 2 0 28 Apr 2024
Image Classification with Rotation-Invariant Variational Quantum Circuits Paul San Sebastian Mikel Canizo Román Orús 32 4 0 22 Mar 2024
Geometric quantum machine learning of BQP $^A$ protocols and latent graph classifiers Chukwudubem Umeano V. Elfving Oleksandr Kyriienko 32 2 0 06 Feb 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 36 14 0 17 Jan 2024
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 24 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 43 128 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 26 8 0 30 Nov 2023
Symmetry-invariant quantum machine learning force fields Isabel Nha Minh Le Oriel Kiss Julian Schuhmacher I. Tavernelli F. Tacchino AI4CE 28 12 0 19 Nov 2023
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds Lakshika Rathi Edith Tretschk Christian Theobalt Rishabh Dabral Vladislav Golyanik 3DPC 33 2 0 09 Nov 2023
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images Su Yeon Chang Michele Grossi B. L. Saux S. Vallecorsa 49 13 0 03 Oct 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 39 1 0 11 Sep 2023
Quantum Neural Estimation of Entropies Ziv Goldfeld Dhrumil Patel Sreejith Sreekumar Mark M. Wilde 30 9 0 03 Jul 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data Koki Chinzei Q. Tran Kazunori Maruyama H. Oshima S. Sato 28 10 0 12 Jun 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 51 25 0 04 May 2023
On the universality of $S_n$ -equivariant $k$ -body gates S. Kazi Martín Larocca M. Cerezo 43 19 0 01 Mar 2023
Effects of noise on the overparametrization of quantum neural networks Diego García-Martín Martín Larocca M. Cerezo 27 17 0 10 Feb 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 28 3 0 19 Jan 2023
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
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
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
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 62 80 0 08 Sep 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 38 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 53 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 32 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
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 51 43 0 15 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 134 422 0 06 Jan 2021
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
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018