Automating Superconducting Quantum Chip Design with QDesignOptimizer
Designing superconducting quantum circuits can be a time-consuming challenge—tuning capacitances, Josephson junctions, and couplings to hit target frequencies and decay rates often requires countless manual simulations. What if we could automate this process?
Our new open-source tool integrates with HFSS, EPR analysis, and Qiskit Metal, automating the simulation and optimization of design variables. Instead of manually tweaking parameters, use our QDesignOptimizer:
- Runs detailed electromagnetic simulations
- Uses a physics-informed nonlinear model for efficient convergence
- Allows flexible and efficient subsystem analysis
Try it out! Install via pip:qdesignoptimizer(link) or check out the repo on GitHub
Read more on our dedicated webpage: https://202q-lab.se/q-design-optimizer/
See you at the APS March Meeting 2025 (GPS) in Anaheim! Our team – Axel Eriksson, Lukas Splitthoff, Harsh Vardhan Upadhyay, Pietro Campana, Kunal Helambe, Niranjan Pittan Narendiran, Linus Andersson, Simone Gasparinetti and more from the 202Q-lab at Chalmers university in Gothenburg/Sweden will present the QDesignOptimizer. Don’t miss it! Session MAR-X17, Friday March 21, 01:42pm.
Join Our Webinar!
Want to get started with automated quantum circuit optimization? We’re hosting a live webinar to introduce QDesignOptimizer and help researchers integrate it into their workflow.
April 25, 2025 | 3-6 PM CEST | Zoom
Sign up here to receive program details!