qGAP seminar series
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.
Our meetings are on Mondays (start 2024: January 22),
at 3:15pm at the Center for Computing Science Education, Physics bulding, seminar room Ø465 (Physics building, eastern wing).
Also available via zoom Meeting ID: 929 6612 3227 Passcode: 775785
Schedule spring 2024
January 22: Simon Cooil (SNM, UiO)
Title: Atomically Sharp and High-Density Sb Doping in Si for use in Quantum Devices
Contact Simon at s.p.cooil@fys.uio.no
January 29: Justin Wells (SNM, UiO)
Title: Observing and understanding electron-boson interactions in solids
Contact Justin at j.w.wells@fys.uio.no
February 5: Stian Dysthe Bilek (Physics, UiO)
Title: Parameterized Optimization of Quantum Circuits (see https://arxiv.org/abs/2203.08514)
Abstract: Quantum variational circuit compiling is a technique in quantum computing where quantum circuits are transformed into more efficient forms, known as parameterized ansatzes, through a combination of quantum and classical computational methods. This talk explains a new approach within this domain, called the recursive variational quantum compiling algorithm (RVQC). Unlike standard variational quantum compiling (VQC) algorithms, which require running the entire target circuit for compilation, RVQC breaks down the target circuit into segments. Each segment is individually and recursively compressed into the parameterized ansatz. This method advantage lies in its ability to compress circuits without being dependent on the entire target circuit depth. Contact Stian at stian.bilek@fys.uio.no
February 12: Håkon Kristiansen (Hyllerås Center@Chemistry, UiO)
Title: Time-dependent many-body theories
Abstract: Contact Håkon at h.e.kristiansen@kjemi.uio.no
February 19: Morten Hjorth-Jensen (Physics, UiO)
Title: Parametric Matrix Models and Machine Learning (see https://arxiv.org/abs/2401.11694)
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. Contact Morten directly at mhjensen@uio.no
February 26: Joakim Bergli (Physics, UiO)
Title: Introduction to quantum error correction
Abstract: I will explain breifly the simplest classical error correction codes and the difficulties of constructing quantum error correction codes based on the same ideas. Then I will show how one can by small modifications get quantum error correction codes and show how they work. The focus is on understanding the basic principles by simple examples (the three qubit repetition code and the 9-qubit Shor code) rather than descibing the general framework or the optimal codes. Contact Joakim at joakim.bergli@fys.uio.no
March 4: Joakim Bergli (Physics, UiO)
Title: Synchronization in two-level quantum systems
Abstract: Synchronization is a process where an oscillating system synchronizes its frequency and phase to an external signal (or one or more additional oscillating system). The classical theory of syncronization is well developed, and there is now interest in transferring this to quantum systems, understanding in what way they are similar or different from classical systems. I will explain how one can use these concepts in describing a two-level system interacting with a thermal environment and how we can apply the quantum trajectory theory to get more detailed information.
March 5: Antoine Camper (Physics, UiO)
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: TBA
March 18: TBA
March 25 and April 1, Easter break
April 8: TBA
April 15: TBA
April 22: Anders Kvellestad (Physics, UiO)
Title: Gaussian processes for continual learning
Abstract: Gaussian processes (GPs) can be used as a principled Bayesian approach to regression problems. But many practical applications of GPs are hampered by the fact that the training time for a naive GP implementation scales as the number of data points cubed. In this talk I will give an introduction to Gaussian processes and present a method that enables “continual learning” with GPs, i.e. a GP regression model that continually adapts to a never-ending data stream. if time, I will discuss example applications of this method for computationally expensive parameter estimation studies. Contact Anders at anders.kvellestad@fys.uio.no
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, see https://sites.google.com/view/physmlworkshop24/home Contact Sølve at Solve.Eidnes@sintef.no