Roman ILIC
MSc Graduate in Quantum Information Science & Technology (TU Delft)
Delft University of Technology (TU Delft)
Delft, Netherlands
Applied research in quantum algorithms & AI, focusing on heuristics: hybrid and inspired methods for ML, optimization, and scientific computing.
My organisation
Delft University of Technology (TU Delft)
Delft University of Technology (TU Delft)
University / R&D Institution
Delft, Netherlands
About me
I focus on quantum heuristics, hybrid approaches, and quantum inspired methods, bridging theory and practice to turn research prototypes into real-world solutions. My MSc thesis benchmarked differentiable quantum circuits against matrix product states for stiff nonlinear differential equations, showing when entanglement becomes structurally necessary. I look forward to connecting with researchers and industry teams advancing quantum algorithms in machine learning, optimization, and scientific computing.
Skills
- Scientific Writing & Publication
- Research collaboration
- Cross-functional teamwork
- Quantum Machine Learning
- Quantum Annealing
Interests
- Quantum Applications
- Hybrid Algorithms
- Quantum-Inspired Methods
- PDEs
- heuristics