Spin qubits in silicon quantum dots offer a promising pathway for quantum computing due to their relatively long coherence times. However, operational efficiency is challenged by decoherence mechanisms, such as nuclear spin hyperfine interactions and spin-orbit coupling effects. This project employs advanced simulation tools to analyse the noise contributions affecting qubit performance. The objective is to develop and optimize control sequences to mitigate these noise sources, enhancing the qubits' overall performance and stability for quantum computing applications.
This project is suitable for exceptional students with backgrounds in electrical engineering, quantum engineering, physics, computing, mathematics, or related fields. A solid understanding of quantum physics, mathematics, and computing is essential.
School
Electrical Engineering and Telecommunications
Research Area
Electrical engineering | Physics | Computing | Mathematics | Quantum physics
Suitable for recognition of Work Integrated Learning (industrial training)?
Yes
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
The research will be conducted in the SiMOS Quantum Dot lab, formerly led by Prof. Andrew Dzurak. The research group comprises a dynamic team of academics, research staff, and students, providing a collaborative and supportive environment for cutting-edge research.
- Utilise simulation techniques to explore the impact of noise on the dynamics of spin states, critical for quantum information processing.
- Apply wavefunction evolution or density matrix methods to understand noise influences.
- Inform the research group on how different noise types affect various operating protocols.
- Develop optimised control strategies to significantly improve the fidelity of quantum operations.
- Guido Burkard, Thaddeus D. Ladd, Andrew Pan, John M. Nichol, and Jason R. Petta, Semiconductor spin qubits, Rev. Mod. Phys. 95, 025003 (2023) https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.95.025003