Non-Classical Computation for Cognitive Map Construction

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of non-classical computation, specifically quantum computing, to construct cognitive maps and simulate human cognitive processes. Traditional cognitive models often struggle to accurately represent the complexity and interconnectedness of human knowledge. We propose a novel approach utilizing quantum graphs, leveraging quantum entanglement to represent and model cognitive elements and their relationships. These graphs, denoted as (s1, s2, ..., sK), provide a framework for capturing the nuanced interactions within a cognitive system. The core mechanism relies on the entanglement between nodes, where the degree of entanglement directly reflects the strength of the associated cognitive connection. This approach offers a fundamentally different perspective on cognition, potentially overcoming limitations inherent in classical computational models. The paper details the theoretical framework, explores key concepts, and outlines the potential benefits and future directions of this research. ---

DOI: 10.5281/zenodo.22194441

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