Projects

• Project 6: Neural Quantum State Optimization

  Developing a Neural Quantum State Optimization method to solve quantum many-body problems and tackle complex challenges across various industrial sectors, including logistics, finance, and healthcare.

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• Project 5: Exploring Quantum Machine Learning through Kernel Methods

  Developing universal quantum kernel-based models to explore how quantum and classical approaches tackle real-world challenges like “air quality and pollution assessments”...

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• Project 4: Numerical methods for simulating quantum skyrmions

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• Project 3: Unsupervised classification of entanglement using geometry and symmetry fixing

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• Project 2: Machine Learning Approach to Classify Quantum Correlations in Quantum States

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• Project 1: Quasi-Optimal Entanglement Characterisation in Quantum States

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