Machine Learning to Simulate Quantum Computing System Errors from Physical Observations
Machine Learning to Simulate Quantum Computing System Errors from Physical Observations
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
In the context of quantum computing, error correction remains a pivotal challenge, primarily due to imperfect gate operations and environmental interactions. This study introduces a machine learning-based method to simulate and analyze these errors. Utilizing a minimal scalable 2-Majorana-zero-mode (2-MZM) island model within a one-dimensional p-wa...
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Full title
Machine Learning to Simulate Quantum Computing System Errors from Physical Observations
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TN_cdi_doaj_primary_oai_doaj_org_article_4783170893ec45f8a1a81942b95d876a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4783170893ec45f8a1a81942b95d876a
Other Identifiers
ISSN
2218-1997
E-ISSN
2218-1997
DOI
10.3390/universe11040120
