Quantum machine learning

In this type of master project, you will work on classical and quantum machine learning algorithms applied to simulation of physical systems on quantum computers, using both classical data sets and quantum mechanical data sets.

Methodology for master project: Quantum mechanical theories, machine learning, quantum machine learning, reinforcement learning and quantum reinforcement learning.

 

Prerequisite knowledge:

FYS3110 – Quantum Mechanics

Recommended courses to take during first semesters of master programme:

FYS4110 – Advanced Quantum Mechanics

FYS4480 – Quantum mechanics for many-particle systems

FYS-STK4155 – Applied Data Analysis and Machine Learning

 

Published May 12, 2026 11:00 AM - Last modified May 18, 2026 10:23 AM

Supervisor(s)

Scope (credits)

60