Superconducting Qubit Software, Design Tools & Theory

11:30 am – 2:18 pm, Friday March 21 // Session MAR-X17 //Anaheim Convention Center, 161 (Level 1)

Chair:: Peter Groszkowski, Oak Ridge National Laboratory
Topics:
Sponsored by: DQI

Automatic multi-parameter design optimization for superconducting quantum devices

1:42 pm – 1:54 pm

Presenter: Lukas Johannes Splitthoff (Chalmers University of Technology)

Authors: Axel Eriksson (Chalmers University of Technology), Kunal Helambe (Chalmers University of Technology), Niranjan Narendiran (Chalmers University of Technology), Harsh Vardhan Upadhyay (Chalmers University of Technology), Pietro Campana (Chalmers University of Technology), Linus Andersson (Chalmers University of Technology), Simone Gasparinetti (Chalmers University of Technology)

We present an automated framework for the precise optimization towards user-specified Hamiltonian parameter targets in superconducting quantum circuits, crucial for both small and large-scale quantum implementations.

Our design optimization package extends Qiskit Metal’s popular design environment and the ANSYS HFSS solver, to enable an efficient multi-component circuit design of qubits, resonators, and their linear and non-linear couplings, also to readout and control lines.

Through a combination of eigenmode analysis, capacitance extraction, and participation ratio studies, we realize an iterative physics-guided multi-parameter optimization wrapping around high-accuracy simulations and accounting for potential parameter interdependencies. The framework can break large-scale circuit layouts into smaller studies for efficient simulations on desktop computers.

Additionally, we provide a practical example of a multi-qubit chip, complementing our online available design optimization package.

The package should offer an accessible, low-effort entry point for students and researchers designing superconducting quantum circuits.

PRESENTATIONS (12)