Dynamic Parameterization of Quantum Wave Function Collapse

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the concept of dynamic parameterization of quantum wave function collapse, aiming to optimize the probability of observing specific quantum states. It introduces an Adaptive Wave Function Collapse Parameterization algorithm, a novel approach to continuously adjust parameters based on observed quantum states. The core claim is that this algorithm can significantly improve the efficiency of quantum state observation by strategically manipulating the wave function collapse process. The paper details the algorithm's architecture, explains the underlying mathematical principles, and presents preliminary results demonstrating its effectiveness in a simplified quantum simulation scenario. We investigate the impact of parameter adjustments on observed quantum states and evaluate the algorithm's performance through a series of simulations.

DOI: 10.5281/zenodo.22289381

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