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Physics: Research in Physics, Classical/Quantum information

Programme Research in Physics, Classical/Quantum information

Below you will find the outline for the specialisation progamme Research Classical/Quantum information.

With regard to electives you have the option to choose electives from related study programmes. Always consult your Study Advisor Physics for advice.

There are a few electives that will be offered next year (with reservations).These electives can be found in the Course and Examination Regulations available on the menu on the right.

Study Plan

At the start of the Master’s programme, students are required to create a study plan: this plan includes a complete list of planned courses and projects for two subsequent academic years in consultation with the Study Advisor Physics

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Physics: Research in Physics, Classical/Quantum Information

Course EC Semester 1 Semester 2

Physics programme (60 EC)

Mandatory courses (30EC)

Introduction to Machine Learning 6
Introduction to Deep Learning 6
Quantum Information 3
Statistical Physics a 6
Academic and Professional Skills (Science) 3
Computational Physics (6 EC) 6
Physics and Classical / Quantum Information 6
Seminar Advances in Deep Learning 6

Choice of 2 courses from the list of core courses presented below (12 EC)

Applied Quantum Algorithms 6
Reinforcement Learning 6

Electives ≥18EC (from either the list of core courses or the list of courses below, and max. 6EC from MSc programmes outside Physics)

Automated Machine Learning 6
Complex Networks (BM) 6
Econophysics 6
Quantum Theory 6
Statistical Physics b 3
Physics of Finance 3

Research Project in Physics with Data Science

All research projects are performed under the responsibility of a LION staff member. The main research project can be extended to 42 EC (research=36 EC, thesis=4 EC, presentation=2 EC) and combined with a smaller 18 EC project or internship, with the approval of the Study Advisor and the Board of Examiners.

Research project (36EC)
Research (30 EC), thesis (4 EC) and presentation (2 EC)

Second small research project or internship (24 EC)
Research (20 EC), thesis (3 EC) and presentation (1 EC)