Hyperdimensional Wavefunction Collapse (HWC) - Enhanced Sampling

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces Hyperdimensional Wavefunction Collapse (HWC), a novel method for generating highly complex and diverse wavefunctions. We propose a dynamically collapsing algorithm that generates wavefunctions at multiple scales, combining them to produce intricate patterns. The core of HWC lies in its multi-scale, adaptive approach, which significantly enhances sampling efficiency and versatility compared to existing methods. We detail the algorithm's design, the resulting wave function generation process, and the resulting impact on wave function diversity. This work demonstrates the potential of HWC to produce complex wavefunctions with improved efficiency and adaptability.

DOI: 10.5281/zenodo.22272347

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