Quantum State Collapse Prediction via Entanglement-Based Dynamics

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum state collapse is a fundamental challenge in quantum computing, representing a significant hurdle in achieving reliable computation. This research explores a novel method for predicting collapse based on entanglement dynamics, aiming to significantly improve error mitigation techniques. We propose a dynamic model that visualizes the evolution of entanglement as the system approaches collapse, allowing for more precise forecasting of quantum states. This approach leverages the inherent correlations within entangled systems, providing a pathway toward enhanced error correction and improved quantum algorithm performance. The method offers a distinct and potentially transformative perspective on this critical problem.

DOI: 10.5281/zenodo.22253693

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