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Quantum-Enhanced Tensor Field Theory for Gravitational Waves

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

Quantum-enhanced Tensor Field Theory (QETF) offers a novel framework for predicting gravitational wave patterns, potentially significantly improving the accuracy of gravitational wave detection. This paper details the design and implementation of a quantum algorithm to simulate the evolution of the gravitational field, specifically targeting subtle correlations that classical methods often overlook. We explore the advantages of quantum computation in capturing these correlations, aiming to overcome limitations imposed by classical computational resources and provide a fundamentally new approach to gravitational wave analysis. The paper outlines the algorithm's core mechanism, including the use of a parameterized quantum state space and a carefully constructed quantum circuit to represent the gravitational field dynamics. We present preliminary results demonstrating the algorithm's potential to enhance detection capabilities and offer a promising path towards more precise gravitational wave observations.

DOI
10.5281/zenodo.22272997

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Gravitational wave detection represents a monumental leap in astrophysics, demanding sophisticated data analysis techniques. Conventional methods often struggle with the inherent complexity of these signals, particularly when dealing with subtle correlations and potential hidden patterns. This paper proposes a novel approach utilizing quantum waveform mapping to enhance gravitational wave analysis. We introduce a method that leverages quantum entanglement to represent the gravitational wave's waveform, enabling a fundamentally new level of sensitivity and precision in identifying and characterizing these events. The core mechanism centers around the potential for quantum correlation to reveal previously unnoticed aspects of the signal, offering a potential paradigm shift in our understanding of gravitational wave phenomena. This research will explore the theoretical basis of the quantum waveform mapping technique and present preliminary results demonstrating its efficacy in analyzing a selected dataset.
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