NC State Quantum Summer School 2026
June 1, 2026 - June 5, 2026
Explore the Future of Quantum Machine Learning
Join leading experts and emerging researchers for a week-long event focused on quantum machine learning (QML) and hybrid quantum-classical methods for solving real-world problems in:
- Molecular structure and dynamics
- Quantum and topological materials
- Optimization and data analytics
- Sensing and drug design
- Financial modeling
- Complex biological and chemical systems
Program Overview
Morning Talks and Tutorials: 8:00 AM – 1:00 PM
Afternoon Labs/Projects: 2:30 PM – 4:30 PM
5 days of hands-on learning and interactive sessions
Featured Topics
- Foundations of Quantum Computing and QML
- Learning Theory in QML Models
- Quantum Algorithms for Data Analytics
- Fault-Tolerant QML and Barren-Plateau-Free Techniques
- Quantum Computing Architectures and Error Correction
- Federated QML for Drug Discovery and Healthcare
- Quantum-enabled machine learning for quantum simulations of molecules and materials
- QML Applications in Sensing, finance and Engineering
Who Should Attend?
- Graduate students and postdocs
- Faculty and researchers
- Industry professionals in quantum technologies
- Anyone interested in cutting-edge quantum applications
Stay tuned for registration details, speaker lineup, and agenda!
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