Noise fingerprints in quantum computers: Machine learning software tools
نویسندگان
چکیده
In this paper we present the high-level functionalities of a quantum-classical machine learning software, whose purpose is to learn main features (the fingerprint) quantum noise sources affecting device, as computer. Specifically, software architecture designed classify successfully (more than 99% accuracy) fingerprints in different devices with similar technical specifications, or distinct time-dependences fingerprint single machines.
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ژورنال
عنوان ژورنال: Software impacts
سال: 2022
ISSN: ['2665-9638']
DOI: https://doi.org/10.1016/j.simpa.2022.100260