Thesis Projects
Most of the projects below can form the basis for a Master of Science thesis or a longer PhD thesis. The topics reflect my current research interests. All project descriptions are linked as PDFs.
- Machine learning for finance: from Physics Informed Neural Networks to Parametric Matrix Models
- Machine learning for time-dependent quantum mechanical problems: from TDHF to MCTDHF and time-dependent Coupled-Cluster theory
- Machine learning for quantum computing
- Quantum computing and unitary Coupled-Cluster theory
- Simulations of spin qubit systems and entanglement in many-body systems
- Implementation of Physics-informed algorithms on quantum computers
- Quantum reinforcement learning applied to quantum sensors (description coming soon)
Courses
FYS3150/4150 – Computational Physics
Introductory computational physics course at the University of Oslo. All material openly available on GitHub.
FYS4411/9411 – Computational Physics II
Advanced computational physics: variational Monte Carlo, machine learning for physics. Material on GitHub.
FYS5419/9419 – Quantum Computing & QML
Graduate course: VQE, QPE, HHL, quantum machine learning. Material on GitHub.
FYS5429/9429 – Advanced Machine Learning
Discriminative and generative deep learning methods for the physical sciences. Material on GitHub.
Computational Science Master's Programme
Morten initiated and leads the Master of Science programme in Computational Science at the University of Oslo, a multi-disciplinary programme spanning seven departments at the Faculty of Mathematics and Natural Sciences.