Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction

26 September 2021

Papers citing "Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction"

7 / 7 papers shown

Title
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery L. Domingo M. Chehimi S. Banerjee S. H. Yuxun S. Konakanchi L. Ogunfowora S. Roy S. Selvaras M. Djukic C. Johnson AI4CE 19 6 0 06 Sep 2023
Quantum Graph Learning: Frontiers and Outlook Shuo Yu Ciyuan Peng Yingbo Wang Ahsan Shehzad Feng Xia Edwin R. Hancock AI4CE 21 5 0 02 Feb 2023
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data Jack Y. Araz M. Spannowsky 28 14 0 21 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
The Tracking Machine Learning challenge : Throughput phase S. Amrouche L. Basara P. Calafiura D. Emeliyanov Victor Estrade ... E. Moyse D. Rousseau A. Salzburger Andrey Ustyuzhanin J. Vlimant 118 31 0 03 May 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 107 76 0 21 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 129 655 0 28 Jul 2020