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Algorithmic Vacuum

Jincheng Zhang

Published Aug 20, 2026• 0 citations
Publisher

Abstract

This paper explores the concept of the "Algorithmic Vacuum," a persistent computational space arising from the inherent randomness and incomplete initialization within stochastic algorithms. It posits that even without actual program execution, a residual space of potential solutions, represented as vacuum fluctuations, remains accessible. This concept is developed through the lens of random algorithms, initialization procedures, and the fundamental act of searching. The paper argues that understanding this "Algorithmic Vacuum" is a crucial step towards a new paradigm – "Vacuum Computing," where computation isn't solely reliant on deterministic execution but leverages this latent space. We define key metrics for quantifying the size and influence of this vacuum, and propose a theoretical framework for its manipulation. The core argument centers on the idea that the probabilistic nature of algorithms leaves open possibilities, creating a dynamic space for potential answers. The research will outline the theoretical underpinnings of this concept and discuss its implications for future computational paradigms.

DOI
10.5281/zenodo.22020711

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