Advancing Theoretical Computation
ΣT Research Group pioneers intersectional approaches between quantum mechanics, topology, and machine learning to redefine computational limits.
Our multidisciplinary team of physicists, mathematicians, and AI researchers is driven to build next-generation quantum architectures through foundational research.
Our Mission
To bridge the abstraction of theoretical physics with practical computational systems through:
- Topological quantum error correction
- Computational topology optimization
- Quantum machine learning frameworks
Meet Our Leadership Team
Α.Μ
Alexios Mavromatis
Theoretical Physicist
PhD, MIT
Specialist in quantum topology with 15+ papers on TQFT applications in error-corrected systems.
Ε.Κ
Eleni Konstantinou
Machine Learning Architect
MS, Stanford
Leading quantum machine learning frameworks with 8 open-source projects on non-Abelian algorithms.