Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data

12 June 2023

Papers citing "Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data"

9 / 9 papers shown

Title
Inductive Graph Representation Learning with Quantum Graph Neural Networks Arthur M. Faria Ignacio F. Graña Savvas Varsamopoulos GNN 57 0 0 31 Mar 2025
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware Rahul Bhowmick Harsh Wadhwa Avinash Singh Tania Sidana Quoc Hoan Tran Krishna Kumar Sabapathy 50 0 0 20 Mar 2025
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 26 1 0 02 Oct 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 48 1 0 26 Jun 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 41 2 0 28 Apr 2024
On quantum backpropagation, information reuse, and cheating measurement collapse Amira Abbas Robbie King Hsin-Yuan Huang W. Huggins R. Movassagh D. Gilboa Jarrod R. McClean 37 39 0 22 May 2023
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 42 54 0 14 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 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