User projects

Explore selected scientific projects carried out with JUNIQ resources, grouped by quantum-computing approach.

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Jump directly to a project area. Each category highlights three representative projects.

Quantum Simulation

Optimization

Quantum Machine Learning

Emulation

Physics, materials, and quantum studies

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Combinatorial and application-driven problems

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Learning, classification, and data workflows

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Classical modelling and simulation of quantum systems

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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.

Last Modified: 28.08.2026