Scalable Quantum Error Mitigation with Neighbor-Informed Learning
Published:Dec 14, 2025 07:07
•1 min read
•ArXiv
Analysis
This article, sourced from ArXiv, likely presents a novel approach to quantum error mitigation. The title suggests the use of machine learning, specifically 'Neighbor-Informed Learning,' to improve the scalability of quantum computing by reducing errors. The focus is on a method to correct errors in quantum systems, which is a critical challenge in the field.
Key Takeaways
- •Focus on quantum error mitigation.
- •Utilizes Neighbor-Informed Learning, likely a machine learning technique.
- •Aims to improve the scalability of quantum computing.
Reference
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