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Title: Algorithmic Quantum Consciousness Mapping

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of algorithmic quantum consciousness mapping, a novel approach to represent and interact with complex quantum states through a holographic projection framework. The core claim is to develop an algorithm capable of translating complex multi-dimensional quantum states into a holographic representation, offering a computational model for understanding quantum phenomena through a lens of consciousness. The algorithm leverages a "Quantum Resonance Field" technique, analyzing entanglement to identify patterns and construct a holographic projection of a system's internal state. This system offers a potential pathway to visualizing and exploring complex quantum states, potentially providing a new framework for interpreting and understanding subjective experience. The research delves into the fundamental principles underlying this mapping, addressing challenges in both quantum mechanics and computational modeling.

DOI
10.5281/zenodo.22279025

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Quantum Field Theory (QFT) has long been a cornerstone of theoretical physics, providing a framework for understanding fundamental phenomena like particle interactions and the early universe. However, accurately simulating complex quantum field theories, particularly those involving high-dimensional spaces, remains a significant computational challenge. This paper explores a novel approach to QFT reconstruction, utilizing a "holographic projection" technique to map quantum states onto a higher-dimensional holographic projection. This method promises to overcome limitations of existing techniques, enabling efficient simulation of complex systems and opening new avenues for research and development. The core mechanism hinges on projecting the quantum state onto a holographic projection, allowing for the efficient calculation of observables and the representation of quantum states. The potential for this technique lies in its ability to simplify simulations and facilitate the exploration of previously inaccessible quantum systems. This research investigates the theoretical and practical implications of this approach, emphasizing its potential to revolutionize the field of QFT simulation.
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