Speaker For October 3 Title: From Quantum State Tomography to Spin-Exchange Dynamics: Locally Controlled Rydberg Atom Arrays Speaker: Kangheun Kim Affiliation: postdoctoral researcher at the Korea Research Institute of Standards and Science (KRISS) Please join us at 2pm Virtually Not receiving announcements with link - Email: quantumhelp@ncsu.edu
Details Coming Soon! UNC Hosting Sept 5 NC State Hosting Sept 12 Host TBD - Sept. 19 and 26 Duke Hosting Oct. 3
Speaker For October 17 Title: Quantum Reservoir Computing Speaker: Isaiah Hull Affiliation: Co-founder and CTO of FirstQFM Please join us at 2pm Virtually Not receiving announcements with link - Email: quantumhelp@ncsu.edu
Details Coming Soon! UNC Hosting Sept 5 NC State Hosting Sept 12 Host TBD - Sept. 19 and 26 Duke Hosting Oct. 3
Speaker For October 24 Title: SCOOP: A Quantum-Computing Framework for Constrained Combinatorial Optimization Speaker: Prashanti Priya Angara Affiliation: Postdoctoral Researcher in Computer Science at the University of Victoria (UVic) Please join us at 2pm Virtually Not receiving announcements with link - Email: quantumhelp@ncsu.edu
The 2026 Southeast Quantum Workshop will be held on NC State's Centennial Campus. More information coming soon!
Details Coming Soon! UNC Hosting Sept 5 NC State Hosting Sept 12 Host TBD - Sept. 19 and 26 Duke Hosting Oct. 3
Speaker For October 31 Title: Reliable High-Accuracy Error Mitigation for Large-Scale Quantum Circuits Speaker: Netanel Lindner Affiliation: Rrofessor of theoretical physics at the Technion – Israel Institute of Technology, and Chief Technology Officer and Co-Founder of Qedma Please join us at 2pm Virtually Not receiving announcements with link - Email: quantumhelp@ncsu.edu
Details Coming Soon! UNC Hosting Sept 5 NC State Hosting Sept 12 Host TBD - Sept. 19 and 26 Duke Hosting Oct. 3
Details Coming Soon! UNC Hosting Sept 5 NC State Hosting Sept 12 Host TBD - Sept. 19 and 26 Duke Hosting Oct. 3
Details Coming Soon! UNC Hosting our Speaker on Nov. 21
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…