Title: Adaptive Complexity of Wave Function Collapse

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the challenges and opportunities in quantum simulation, focusing specifically on the optimization of wave function collapse – a crucial step in determining the outcome of quantum computations. We propose a novel Adaptive Complexity of Wave Function Collapse (ACWC) algorithm, designed to dynamically adjust the complexity of collapse based on simulation progress, balancing fidelity with computational efficiency. This dynamic adjustment mitigates the limitations of static collapse strategies, offering a potential pathway toward more robust and faster quantum simulations. The core mechanism involves a feedback loop that continuously assesses the simulation's state, iteratively adjusting the collapse parameters to achieve optimal results. This research explores the potential benefits of such a mechanism, driven by the need for efficient and accurate quantum simulations.

DOI: 10.5281/zenodo.22198727

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