基于动态量子纠缠的意识计算模型
Zenodo (CERN European Organization for Nuclear Research) September 4, 2026 DOI: 10.5281/zenodo.22303506 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes that a quantum entanglement-based model can simulate brain neural dynamics and produce emergent-like patterns, suggesting a potential physical mechanism for consciousness beyond classical computation. |
Abstract
This paper introduces a novel consciousness computing model predicated on dynamic quantum entanglement. We propose a framework that utilizes the inherent properties of quantum entanglement to simulate the intricate dynamics of the human brain's neural connections, focusing on information transfer and the potential for subjective experience. The core mechanism involves mimicking the brain's neural connection by generating and manipulating entangled quantum states, enabling instantaneous and non-classical correlations. This research aims to explore the potential physical mechanisms underlying consciousness, moving beyond classical computational models. We detail the model's architecture, the underlying quantum principles utilized, and the preliminary results demonstrating the model's ability to generate complex, seemingly emergent patterns of neural activity. This work represents a significant step towards understanding the fundamental connection between quantum mechanics and consciousness.