基于多体量子场论的意识模拟

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the potential of utilizing the framework of multi-particle quantum field theory (MQFT) to simulate the neural correlates of consciousness. The core claim is to develop a system capable of mimicking brain activity and information flow, leveraging quantum entanglement as a fundamental mechanism. We propose a model centered around simulating neural networks through quantum entanglement, analyzing the impact of quantum phenomena on consciousness, and ultimately seeking to understand the underlying principles of this complex phenomenon. The research aims to move beyond traditional neural network models by incorporating a quantum perspective, potentially unlocking novel insights into the nature of consciousness.

DOI: 10.5281/zenodo.22264843

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