Machine Learning, artificial intelligence and quantum science at the university of Oslo; research and education
Contents
Basic activities, Overview of our main activities
Quantum Science at CCSE@UiO
More activities
A simple perspective on the interface between ML and Physics
Selected references
Argon-46 by Solli et al., NIMA 1010, 165461 (2021)
Quantum Monte Carlo and deep learning
"Dilute neutron star matter from neural-network quantum states by Fore et al, Physical Review Research 5, 033062 (2023)":"https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033062" at density \( \rho=0.04 \) fm$^{-3}$
The electron gas in three dimensions with \( N=14 \) electrons (Wigner-Seitz radius \( r_s=2 \) a.u.), "Gabriel Pescia, Jane Kim et al. arXiv.2305.07240,":"https://doi.org/10.48550/arXiv.2305.07240"
Quantum Science and Technologies
References, Quantum Computing
Quantum Engineering
Candidate systems
Overview and Motivation
Recent work
Electrons (quantum dots) on superfluid helium
Where we are now
Plans
Courses, theory path
Basic activities, Overview of our main activities
Machine Learning applied to classical and quantum mechanical systems and analysis of physics experiments
Quantum Engineering
Quantum algorithms
Quantum Machine Learning
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