Geometric Resonance for Wave Function Collapse Prediction

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel computational method for predicting the collapse of wave functions, centered around the application of geometric resonance. We outline a mathematical model of wave function collapse, incorporating geometric principles to identify resonant patterns – crucial for accurate prediction. The core mechanism involves constructing a representation of the wave function as a geometric space, allowing for the detection of collapse events through the analysis of resonant structures. This approach aims to surpass current methods by offering a more robust and predictive framework, particularly for complex wave function scenarios. The paper details the model's architecture, demonstrates its efficacy through simulations, and discusses future research directions.

DOI: 10.5281/zenodo.22494419

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