Si and alternative material quantum dots, that rely on fabrication processes and techniques compatible with the mature CMOS technology, are considered as a very promising candidate to build quantum bits (qbits), the basic blocks to build a quantum computer. They also have interesting application prospects in other fields, like optoelectronics and solar cells for instance.
The proposed work proposes to develop advanced quantum-modeling and multiscale techniques to accurately model Quantum dots to explore their physics, design and application potential. This encompasses time-dependent quantum transport, as well as including electron-electron interaction beyond the mean-field approximation, in order to capture time dependence and multi-electron correlation effects. In addition, to reduce the computational burden of the simulations, multiscale techniques, like mixing effective-mass self-consistent mean-field theory with atomistic (e.g., using semi-empirical tight-binding, Extended-Huckel or even DFT Hamiltonian representations) beyond mean-field theory, or mixing semi-classical transport in large equilibrium or close to equilibrium macroscopic regions, such as the leads, will be envisioned. The modeling work will be done within our state-of-the-art atomistic modelling simulation platform ATOMOS.
In this thesis, you will explore the properties and design of Quantum dots made of Si or other combination of materials and heterojunctions. You will learn to use and expand the most advanced quantum-transport atomistic tools and methods in order to capture time-dependent and correlation effects. You will investigate the fundamental physics and performance of innovative quantum-dot devices with as target application qbits for quantum computer and possibly optoelectronics. You will learn and benefit from the support from modeling experts in the field, as well as closely interact with experimentalists working at IMEC.
Supervisor: Michel Houssa (KU Leuven)
Co-Supervisor: Aryan Afzalian (imec)
Daily Advisor: Aryan Afzalian (imec)
Type of work: 65% device physics and simulations, 35% quantum transport and multiscale-modeling code development
Required background: Physical/Electrical/Electronic/Material Engineering, Physics or Chemistry
The reference code for this position is 2020-118. Mention this reference code on your application form.