From CSIRO DAP
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Error-mitigated quantum computing SEMO Python dynamic module

Created 20/09/2025

Updated 20/09/2025

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Qubit noise is one of the major barriers limiting broad adoption of quantum computing in solving complex real-word problems, such as optimisation. The qubit noise and the local minima in the underlying optimisation objective function often make the probability of obtaining the true optimal solution (global optimal rather than local minima) decrease exponentially with increasing underlying problem complexity. A quantum computing error mitigation invention has been filed by CSIRO with IP Australia in Feb 2024. Based on the invention, a Python SEMO (spin-error mitigation for optimisation) software module has been developed. The SEMO software module is available for collaboration for selected parties with a SEMO digital token issued from the CSIRO applied quantum computing project team. The token is authenticated online against the registration server at the beginning of each usage session. The SEMO software module can be evaluated without a digital token for small problems up to 100 spin variables and 200 couplings. Information about CSIRO applied quantum computing and SEMO is available at http://research.csiro.au/aqc. Enquiries about accessing the SEMO software module, please email appliedquantumcomputing@csiro.au.

Files and APIs

Additional Info

Field Value
Title Error-mitigated quantum computing SEMO Python dynamic module
Language English
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/074863ff-e63f-5e2a-8354-1d393584317c
Contact Point
CSIRO Data Access Portal
CSIROEnquiries@csiro.au
Reference Period 01/01/2000
Geospatial Coverage Australia
Data Portal CSIRO DAP

Data Source

This dataset was originally found on CSIRO DAP "Error-mitigated quantum computing SEMO Python dynamic module". Please visit the source to access the original metadata of the dataset:
https://data.csiro.au/collection/csiro:62180