Title: Quantum State Collapse Optimization via Wave Function Embedding

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state collapse, a fundamental process in quantum mechanics, remains a significant challenge in quantum computation. Traditional approaches often lack the precision required for complex algorithms. This research proposes a novel optimization method for quantum state collapse, leveraging the concept of wave function embedding to achieve unprecedented levels of accuracy. We present a new embedding technique that represents the wave function as a set of interconnected points, enabling precise manipulation and control over quantum states. The resulting optimization process will lead to improved quantum computation fidelity and potentially unlock new algorithmic capabilities. This work addresses the limitations of current collapse methods by introducing a mathematically-driven approach that prioritizes precise state manipulation.

DOI: 10.5281/zenodo.22193684

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