Title: Quantum Simulation of Consciousness

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the ambitious goal of developing a quantum simulation framework capable of accurately modeling the computational processes of the human brain. The core claim is that by leveraging quantum algorithms, we can simulate the intricate neural networks within the brain with a fidelity exceeding classical approximations, offering potential insights into the fundamental principles underlying consciousness. We investigate a novel approach combining quantum state manipulation with specific algorithmic design to mimic neural network dynamics, highlighting the challenges and opportunities inherent in this endeavor. The research will address key concepts such as entanglement, superposition, and quantum decoherence, while outlining a preliminary framework for quantum neural network simulation. The paper concludes with a discussion of the potential ramifications and limitations of this research, emphasizing the need for further theoretical and experimental investigation.

DOI: 10.5281/zenodo.22315301

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