Graph-Based Forensic Framework for Quantum Backend Noise Analysis

This research explores a novel approach to understand and mitigate noise in quantum computing systems, a critical challenge for practical quantum applications. The use of a graph-based framework for forensic analysis suggests a potentially powerful and insightful method for characterizing and correcting hardware noise.

• •Applies graph-based analysis to quantum computing noise.
• •Aims to infer hardware noise characteristics.
• •Focuses on cloud quantum backends.