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
A simple perspective on the interface between ML and Physics
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