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https://github.com/aspuru-guzik-group/scilla

Automated discovery of superconducting circuits

https://github.com/aspuru-guzik-group/scilla

Science Score: 36.0%

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    CITATION.cff file
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    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Automated discovery of superconducting circuits

Basic Info
  • Host: GitHub
  • Owner: aspuru-guzik-group
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 109 KB
Statistics
  • Stars: 26
  • Watchers: 8
  • Forks: 7
  • Open Issues: 1
  • Releases: 0
Created over 6 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.md

SCILLA

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 python main_benchmark.py

Requirements

This code has been tested with Python 3.6 on Unix platforms. The required packages are listed in the environment.yml file.

Disclaimer

This repository is under construction. We hope to add further details on the method, instructions, and more examples in the near future.

Experiencing problems?

Please create a new issue and describe your problem in detail so we can fix it.

Authors

This software is written by Tim Menke and Florian Häse.

References

[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).

Owner

  • Name: Aspuru-Guzik group repo
  • Login: aspuru-guzik-group
  • Kind: organization

GitHub Events

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  • Watch event: 1
  • Fork event: 1
Last Year
  • Watch event: 1
  • Fork event: 1

Dependencies

environment.yml pypi
  • argparse ==1.4.0
  • aspy-yaml ==1.1.1
  • atomicwrites ==1.2.1
  • attrs ==18.1.0
  • cached-property ==1.4.3
  • cfgv ==1.1.0
  • future ==0.16.0
  • identify ==1.1.4
  • macfsevents ==0.8.1
  • mock ==2.0.0
  • more-itertools ==4.3.0
  • nodeenv ==1.3.2
  • pbr ==4.2.0
  • pluggy ==0.7.1
  • pre-commit ==1.10.5
  • py ==1.6.0
  • pyswarms ==0.3.1
  • pytest ==3.6.4
  • pyyaml ==3.13
  • toml ==0.9.4
  • virtualenv ==16.0.0
  • watchdog ==0.9.0