Title: Chronometric Wave Function Collapse & Reconstruction

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores a novel computational framework for "wave function collapse" within a system, moving beyond a fundamental collapse to a probabilistic rearrangement of the system's state. We propose a Temporal Gradient mechanism, which subtly alters the system's state based on a predefined temporal pattern, effectively "collapsing" and re-assembling the system's representation in a more stable and informative state. This approach offers a potential pathway for simulating time-dependent evolution and emergent behavior, offering a fundamentally different perspective on complex systems dynamics. The core mechanism hinges on creating a gradient that influences the system's state, driving the system towards a more predictable and organized representation. This investigation utilizes a mathematical model to demonstrate the effectiveness of this approach, and analyzes the resulting state space representation. The paper concludes with a discussion of the potential applications and challenges of this framework.

DOI: 10.5281/zenodo.22279616

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