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Title: Modular Quantum Field Theory for Quantum Simulation of Complex Phenomena

Jincheng Zhang

Published Sep 4, 2026• 0 citations
Publisher

Abstract

This paper presents a novel framework for constructing modular quantum field theories (QFTs) designed to facilitate efficient simulation of complex quantum phenomena. Traditional QFTs often struggle with scalability and complex dynamics, hindering their application to real-world problems. This work proposes a method of representing QFTs as a collection of interconnected modules, each representing a fundamental physical process. The resulting system offers significant advantages in terms of simulation, analysis, and adaptability, paving the way for breakthroughs in areas such as condensed matter physics, materials science, and quantum computing. We explore the design principles and mathematical foundations of this approach, demonstrating its potential to overcome limitations inherent in existing QFT techniques. This paper provides a comprehensive overview of the proposed framework and its implications for future research.

DOI
10.5281/zenodo.22302574

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This paper presents a novel framework for constructing modular quantum field theories (QFTs) designed to facilitate efficient simulation of complex quantum phenomena. Traditional QFTs often struggle with scalability and complex dynamics, hindering their application to real-world problems. This work proposes a method of representing QFTs as a collection of interconnected modules, each representing a fundamental physical process. The resulting system offers significant advantages in terms of simulation, analysis, and adaptability, paving the way for breakthroughs in areas such as condensed matter physics, materials science, and quantum computing. We explore the design principles and mathematical foundations of this approach, demonstrating its potential to overcome limitations inherent in existing QFT techniques. This paper provides a comprehensive overview of the proposed framework and its implications for future research.
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