Abstract
We present a general class of machine learning algorithms called parametric matrix models. Parametric matrix models are based on matrix equations, and the design is motivated by the efficiency of reduced basis methods for approximating solutions of parametric equations. Parametric matrix models can be trained with empirical data only, and no high-fidelity model calculations are needed. Parametric matrix models are universal function approximators that can be applied to general machine learning problems. See https://arxiv.org/abs/2401.11694
About the qGAP meeting series
Welcome to our seminar series on Quantum Technologies, many-body physics, machine learning and quantum machine learning (or just qGAP).
The series of seminars/lectures are meant to cover broadly activities at UiO related to quantum technologies, developments in many-body theories related or unrelated to quantum technologies, machine learning applied to quantum mechanical systems and quantum machine learning.
We aim at having regular seminars, discussions of recent articles, presentations by master and PhD students and more. We aim also at discussing experimental work and theoretical work, with obviously a strong link to condensed matter physics, materials science and semi-conductor physics, nanotechnologies and quantum technologies.
Educational topics can also be included.
February 19: Morten Hjorth-Jensen (Physics, UiO) - Title: Parametric Matrix Models and Machine Learning
February 26: Joakim Bergli (Physics, UiO) - Title: Introduction to quantum error correction
March 4: Joakim Bergli (Physics, UiO) - Title: Synchronization in two-level quantum systems
March 5: Michael Doser (CERN)
Title: Seminar on Quantum Detectors for high energy physics by Michael Doser (CERN) on the 5th of March at 14:00 (location: Auditorium 1 in Helga Engs hus). This seminar will be opened to everyone and announced broadly.
The seminar will be followed by a Workshop starting at 15h30 with two 15 minutes talk given by Morten Hjorth-Jensen and Lasse Vines and a one hour round table discussion with Michael Doser (Fysikkbygningen Seminarrom Ø397).
The workshop is intended to gather everyone interested in the Quantum Technology initiative and
Contact Antoine at a.y.m.c.camper@fys.uio.no
March 11: Håkon Kristiansen (Hyllerås Center@Chemistry, UiO)
Title: Time-dependent many-body theories
Abstract: TBA
Contact Håkon at h.e.kristiansen@kjemi.uio.no
March 18: Daniel Philips, University of Ohio, Athens
Title: Bayesian methods to quantify the uncertainty in effective field theory
Abstract: TBA
March 25 and April 1, Easter break
April 8: TBA
April 15: TBA
April 22: TBA
April 29: TBA
May 6: TBA
May 13: TBA, last session
May 14-16, workshop on utilizing numerical analysis and physics knowledge to obtain accurate, explainable and robust machine learning models, Sintef and UiO.
Feel free to suggest speakers, yourself included!