Q. Y. Tang

ORCID: 0000-0003-0113-4521
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About
Contact & Profiles
Research Areas
  • Advanced Graph Neural Networks
  • Quantum Information and Cryptography
  • Neural Networks and Reservoir Computing
  • Atmospheric chemistry and aerosols
  • Spam and Phishing Detection
  • Air Quality and Health Impacts
  • Complex Network Analysis Techniques
  • Quantum Computing Algorithms and Architecture
  • Air Quality Monitoring and Forecasting

Xanadu Quantum Technologies (Canada)
2025

Yunnan University
2024

Photonics offers a promising platform for quantum computing1–4, owing to the availability of chip integration mass-manufacturable modules, fibre optics networking and room-temperature operation most components. However, experimental demonstrations are needed complete integrated systems comprising all basic functionalities universal fault-tolerant operation5. Here we construct (sub-performant) scale model computer using 35 photonic chips demonstrate its functionality feasibility. This...

10.1038/s41586-024-08406-9 article EN cc-by-nc-nd Nature 2025-01-22

Contrastive representation learning has been widely employed in attributed graph clustering and demonstrated significant success. However, these methods have two problems: 1)According to an assumption that clusters are formed around a minority of central anchor nodes, the contrastive relationships between anchors not explored previous works. 2)They fail deal with biased sample pairs, which may degrade quality cause poor performance. To solve problems, we propose framework termed GE-S-D for...

10.1109/tetci.2024.3369849 article EN IEEE Transactions on Emerging Topics in Computational Intelligence 2024-03-12
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