Prediction of Compilation Options for Quantum Circuits via Adaptive Deep Residual Neural Network
Authors
Shouli He
School of Computer and Cyber Sciences, Communication University of China, Beijing, China
Wen Liu
School of Computer and Cyber Sciences, Communication University of China, Beijing, China
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China
Laboratory of Convergent Media and Intelligent Technology (Communication University of China), Ministry of Education, Beijing, China
Yangzhi Li
School of Artificial Intelligence, Changsha University of Science and Technology, Hunan, China
Maoduo Li
School of Computer and Cyber Sciences, Communication University of China, Beijing, China
Kai Chen
School of Computer and Cyber Sciences, Communication University of China, Beijing, China
Yaohua Lu
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
Language: English
Page range: 38 - 67
Submitted on: Oct 10, 2025
Accepted on: Dec 16, 2025
Published on: Jun 4, 2026
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2026 Shouli He, Wen Liu, Yangzhi Li, Maoduo Li, Kai Chen, Yaohua Lu, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.