Qubit simulations & data analysisCopyright: © Ran Xue
B.Sc. Project Impacts of charged defects on T-junction shuttling devices in Si/SiGe
In this project, you will learn about the concept of conveyor-mode shuttling of spin qubits for large scale quantum computing and implementing the perturbation theory by modelling a realistic quantum device. It is a project that closely cooperates with our experimental team to design and optimize the next generation of shuttling devices.
Project description (PDF) Contact: Ran XueCopyright: © Ran Xue
M.Sc. Project Machine Learning based Charge Stability Diagram Model and Feature Extractor
In this project, you will train a neural network to learn a parametrized representation of charge stability diagram measurements. Then you will build methods to utilize this model as a parametrized simulation, as a feature extractor, and as an out-of-distribution detector.
Project description (PDF) Contact: Paul SurreyCopyright: © Lars Schreiber
M.Sc. Project High level simulation of a QuBus-based architecture for quantum computation
In this project you will carry out a detailed study of the operation and performance of the novel QuBus architecture for spin-based quantum computing, which is designed to overcome the problem of scalability that often limits the number of qubits in a quantum computer.
Project description (PDF) Contact: Arnau SalaCopyright: © Otten/Surrey
B.Sc. Project Thermal Solutions for Large Scale Quantum Computing
In this project, you will perform thermal simulations of our experiments in order to gain insights on the performance and constraints for large scale quantum computing. You will devise an experiment to gather the necessary low temperature data needed for a cryo-toolkit for spin qubits. This knowledge is essential for future quantum processors.
Project description (PDF) Contact: René Otten
We are always happy about unsolicited applications. Please contact the principal investigator with whom you'd like to work to discuss possible projects.