QUSL: Quantum unsupervised image similarity learning with enhanced performance
-
Published:2024-12
Issue:
Volume:258
Page:125112
-
ISSN:0957-4174
-
Container-title:Expert Systems with Applications
-
language:en
-
Short-container-title:Expert Systems with Applications
Author:
Yu Lian-HuiORCID,
Li Xiao-YuORCID,
Chen GengORCID,
Zhu Qin-ShengORCID,
Li HuiORCID,
Yang Guo-WuORCID
Reference55 articles.
1. Automatic design of quantum feature maps;Altares-López;Quantum Science and Technology,2021
2. Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem;Arufe;Swarm and Evolutionary Computation,2022
3. New coding scheme to compile circuits for quantum approximate optimization algorithm by genetic evolution;Arufe;Applied Soft Computing,2023
4. Quantum supremacy using a programmable superconducting processor;Arute;Nature,2019
5. Bai, Y., Ding, H., Bian, S., Chen, T., Sun, Y., & Wang, W. (2019). Simgnn: A neural network approach to fast graph similarity computation. In Proceedings of the twelfth ACM international conference on web search and data mining (pp. 384–392). http://dx.doi.org/10.1145/3289600.3290967.