Title: Wave Function Collapse as a Computational Process

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the concept of wave function collapse, a cornerstone of quantum mechanics, and explores its potential as a computational process. We argue that collapse, rather than being a purely deterministic event, can be understood as a self-organizing sequence of decisions that generates emergent behavior. We propose a novel model of collapse based on stochastic algorithm, focusing on model collapse as a process of iterative probability distribution adjustments. This paper aims to provide a rigorous theoretical framework for analyzing this process and highlighting its implications for understanding complex systems. The core mechanism involves model collapse as a stochastic algorithm, generating complex patterns through the adjustment of probabilities. This approach offers a fundamentally different perspective on computation, linking it to a complex, self-organizing process.

DOI: 10.5281/zenodo.22582510

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