Quantum State Collapse as a Computational Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state collapse is a fundamental aspect of quantum mechanics, yet its implications for computation remain largely unexplored. This paper proposes a novel computational algorithm based on the inherent probabilistic nature of quantum collapse to efficiently solve problems intractable with classical methods. We demonstrate this algorithm's potential for rapid evaluation of complex functions through a carefully designed 'quantum state collapse' process. The core mechanism centers around leveraging the uncertainty principle to dynamically adjust the state of a quantum system, effectively "collapsing" a state to reveal a solution. This represents a significant departure from traditional computational approaches, offering a potentially transformative paradigm for tackling computationally challenging problems in diverse fields.

DOI: 10.5281/zenodo.22189893

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