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Machine Learning to Simulate Quantum Computing System Errors from Physical Observations
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...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-04-01
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| Col·lecció: | Universe |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2218-1997/11/4/120 |
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