Title: Quantum Entanglement Resonance Mapping (QERN)

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum Entanglement Resonance Mapping (QERN) is a novel computational method designed to map and analyze entanglement resonance, correlating it with specific quantum states and predicting their behavior. This research centers on identifying 'resonance fingerprints,' a crucial aspect of entanglement that guides the evolution of quantum systems. The core mechanism involves a layered mapping approach utilizing quantum state tomography and machine learning to extract and interpret entanglement signatures. This approach moves beyond traditional analysis by explicitly focusing on the interaction and consequences of entanglement, providing a predictive tool for quantum systems. The goal is to establish a robust methodology for understanding and manipulating entanglement, offering a pathway to enhanced quantum control and design. This paper details the algorithm's architecture, the methods employed for resonance fingerprint identification, and preliminary results demonstrating its predictive capabilities across various quantum states.

DOI: 10.5281/zenodo.22297073

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