Title: Sequential Quantum State Collapse – Dynamic Probability Matrix Construction

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Sequential Quantum State Collapse explores a novel approach to understanding and predicting quantum state collapse, moving beyond traditional guesswork towards a data-driven model. This paper introduces a method for constructing quantum state collapse probabilities by analyzing the dynamic evolution of a complex system and calculating the probabilities of collapse for different states. We propose a statistical analysis framework that leverages the system's dynamics to determine the probabilities of collapse for various outcomes, offering a fundamentally different perspective than current methods. The core mechanism involves quantifying the system's evolution to determine the likelihood of each state collapsing into a particular state. This paper details the methodology, provides an initial analysis of the model's performance, and discusses potential future research directions.

DOI: 10.5281/zenodo.22514186

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