High Dimensional Quantum Machine Learning With Small Quantum Computers

25 March 2022

Papers citing "High Dimensional Quantum Machine Learning With Small Quantum Computers"

7 / 7 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
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 73 0 0 27 Apr 2025
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations Kuan-Cheng Chen Xiaoren Li Xiaotian Xu Yun-Yuan Wang Chen-Yu Liu 177 1 0 09 Mar 2024
Hybrid quantum cycle generative adversarial network for small molecule generation Matvei Anoshin Asel Sagingalieva Christopher Mansell Vishal Shete M. Pflitsch Alexey A. Melnikov BDL GAN 23 4 0 28 Dec 2023
Distributed Quantum Neural Networks via Partitioned Features Encoding Yoshiaki Kawase 23 5 0 21 Dec 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 27 7 0 08 Nov 2023
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 19 12 0 20 Jun 2022