Quantum-Inspired Cognitive Architectures

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential of leveraging principles from quantum mechanics to design novel cognitive architectures. Traditional cognitive architectures often struggle with representing uncertainty, exploring multiple possibilities simultaneously, and efficiently integrating diverse cognitive processes. Inspired by concepts like superposition, entanglement, and quantum decoherence, this research proposes a framework for building architectures that more closely resemble the computational capabilities of the quantum world. The core idea is to move beyond simply utilizing quantum computers as hardware accelerators and instead, to use quantum *principles* to fundamentally redesign how cognitive systems are structured and operate. We investigate how superposition can be embodied through dynamically switching between multiple cognitive states, and how entanglement can be translated into strong correlations between different cognitive modules. The architecture presented here aims to address limitations in existing architectures by providing a more flexible, robust, and potentially more efficient approach to cognitive modeling and artificial intelligence. This work highlights the significant potential for quantum-inspired approaches to revolutionize cognitive architecture design.

DOI: 10.5281/zenodo.22636681

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