User projects
Explore selected scientific projects carried out with JUNIQ resources, grouped by quantum-computing approach.
Explore by category
Jump directly to a project area. Each category highlights three representative projects.
Quantum Simulation | Optimization | Quantum Machine Learning | Emulation |
|---|---|---|---|
Physics, materials, and quantum studies | Combinatorial and application-driven problems | Learning, classification, and data workflows | Classical modelling and simulation of quantum systems |
Quantum Simulation
Using quantum systems to investigate physical models, quantum fields, materials, and other complex phenomena.
Optimization
Applying quantum and hybrid methods to combinatorial and application-driven optimization problems.
Quantum Machine Learning
Using quantum methods within learning, classification, feature selection, and data-intensive workflows.
Emulation
Classical simulation and modelling of quantum processors, quantum dynamics, and quantum-computing workloads.