31/08/2026
How can a superconducting qubit design move from chip geometry to a computable model of quantum behaviour?
In his engineering research project, Reece Bird unders supervision of Professor Coenrad Fourie, developed a software toolchain that automates this process. Starting with verified designs from the SQuADDS database, the program recreates each layout, prepares and runs InductEx and PALACE simulations, constructs Hamiltonians using two independent methods, and generates a detailed report.
Tests on five qubit-cavity designs found that the capacitances used in the calculations were within 10% of established reference values. PALACE eigenmode frequencies were within 7% of the reference simulations. Across the principal quantum parameters, about 85% of results were within 20%, and many were closer.
The comparison also quantified an important trade-off. The Lumped Oscillator Model averaged 20.6 minutes, while the more general Energy Participation Ratio method averaged 92.6 minutes and produced more consistent results. Two layouts also showed why direct eigenmode results remain preferable for cavity frequency under some geometric conditions.
Read the full article: https://www.su.ac.za/en/faculties/engineering/departments/electrical-electronic-engineering/news/chip-geometry-quantum-behaviour-automating-superconducting-qubit-analysis