Jun Qi
Scholar

Jun Qi

Google Scholar ID: 7oZpnlkAAAAJ
Georgia Institute of Technology
Quantum Machine LearningQuantum Error CorrectionSpeech and Language Processing
Citations & Impact
All-time
Citations
1,949
 
H-index
18
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Background
  • Currently a Research Assistant Professor in the Department of Computer Science at Hong Kong Baptist University.
  • Research focuses on Quantum Machine Learning, spanning three main directions:
  • 1. Variational Quantum Computing: Integrating machine learning theory with tensor network methods to enhance scalability, trainability, and noise resilience in quantum systems;
  • 2. Quantum-Enhanced Machine Learning: Developing parameter-efficient fine-tuning strategies for large language models inspired by quantum principles and tensor networks;
  • 3. Quantum Error Correction: Designing AI-driven error-correcting codes for quantum noise mitigation and fault tolerance.
  • This interdisciplinary approach bridges quantum physics and modern machine learning to transform computational paradigms in both quantum and classical domains.
Co-authors
0 total
Co-authors: 0 (list not available)