Quantum Convolutional Neural Networks for High Energy Physics Data Analysis

22 December 2020

Papers citing "Quantum Convolutional Neural Networks for High Energy Physics Data Analysis"

8 / 8 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
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 29 0 0 09 May 2025
Hybrid quantum-classical convolutional neural network for phytoplankton classification S. Shi Zhimin Wang R. Shang Yanan Li Jiaxin Li Guoqiang Zhong Yongjian Gu 19 6 0 07 Mar 2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection Julian Schuhmacher Laura Boggia Vasilis Belis E. Puljak Michele Grossi M. Pierini S. Vallecorsa F. Tacchino Panagiotis Kl Barkoutsos I. Tavernelli 16 26 0 25 Jan 2023
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 21 16 0 04 Nov 2022
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer Chen-Yu Liu Hsin-Yu Wang Pei-Yen Liao Ching-Jui Lai Min-hsiu Hsieh LRM 21 14 0 24 Oct 2022
Case study on quantum convolutional neural network scalability M. Lisnichenko Stanislav Protasov 21 0 0 14 Jul 2022
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 16 115 0 22 Mar 2021