SCILLA is a software for automated discovery of superconducting circuits. Its goal is to facilitate hardware design for quantum information processing applications. Starting from a desired target property for the circuit, it provides a closed-loop implementation of circuit design, property computation, and merit evaluation that searches the design space and identifies promising circuits. The software and its scientific application are described in ref [1]. Implementation details and examples are provided in the supplementary information of the manuscript.
The script main_benchmark.py is provided as an example and benchmark of SCILLA.
It searches the space of 2-node superconducting circuits for a flux spectrum that matches the capacitatively shunted flux qubit.
The script is executed with the following command:
python main_benchmark.pyThis code has been tested with Python 3.6 on Unix platforms.
The required packages are listed in the environment.yml file.
This repository is under construction. We hope to add further details on the method, instructions, and more examples in the near future.
Please create a new issue and describe your problem in detail so we can fix it.
This software is written by Tim Menke and Florian Häse.
[1] Tim Menke, Florian Häse, Simon Gustavsson, Andrew J. Kerman, William D. Oliver, and Alán Aspuru-Guzik, Automated discovery of superconducting circuits and its application to 4-local coupler design, arXiv preprint arXiv:1912.03322 (2019).