Title: Quantum Field Theory with Adaptive Granicity
Jincheng Zhang
Abstract
Quantum Field Theory (QFT) provides a powerful framework for describing fundamental interactions in the universe, yet its inherent complexity often limits the accuracy of simulations, particularly in situations involving intricate quantum phenomena. This paper proposes a novel approach to QFT, introducing a dynamically adjustable granularity scale parameter that allows for a more flexible and efficient representation of the field. We demonstrate this framework through a specific application to simulating the dynamics of scalar fields, revealing significant improvements in computational efficiency and the ability to capture subtle quantum effects. The core mechanism centers around this granularity scale, allowing for a trade-off between computational cost and fidelity of the simulation.