About the Group
The Sabre Kais Group conducts research at the intersection of quantum information science, quantum computing, and computational chemistry. Our research focuses on developing quantum computing algorithms and quantum machine learning methods to address challenging problems in science and engineering. Current interests include quantum simulation, neural-network quantum states, variational quantum algorithms, quantum dynamics, quantum phase transitions, quantum optimization, and topological quantum phenomena, with an emphasis on bridging fundamental quantum theory and practical applications on emerging quantum hardware. By integrating concepts from physics, chemistry, computer science, mathematics, and data science, the group seeks to advance both the theoretical foundations of quantum information and the development of scalable quantum technologies for scientific discovery and engineering innovation.
Professor Kais is the Goodnight Distinguished Chair in Quantum Computing in the Department of Electrical and Computer Engineering, Chemistry and Physics at North Carolina State University, and is affiliated with the NC State Quantum Initiative.
Research Highlights
- Quantum coherence and quantum entanglement in chemical and biological systems
- Adiabatic and gate-model computing algorithms for complex many-body systems
- Quantum machine learning and quantum state tomography for complex quantum and topological materials
- Quantum simulation of open quantum systems, spin liquids, and radical-pair dynamics
- Finite size scaling and quantum phase transition
See Research for topic summaries and Publications for recent papers.
