An AI-Inspired Numerical Method in the Quark Model: Application to Finding the Wave Functions for Heavy Tetraquark States

TL;DR

This paper introduces an AI-inspired numerical method for accurately computing wave functions of heavy tetraquark states in the quark model, demonstrating improved precision over existing techniques.

Contribution

The authors developed a novel AI-inspired numerical approach to determine ground state wave functions of multiquark systems, validated against known solutions and applied to heavy tetraquarks.

Findings

The method outperforms existing techniques in accuracy.

The $T_{cc}$ state is identified as a compact multiquark configuration.

Validated results against analytic and numerical solutions.

Abstract

The current ongoing advancements in AI have shed light on the landscape of numerical analysis in science. Inspired by the path of achievement of AI, we have developed a method to construct accurate ground state wave functions of multiquark configurations within a quark model. We successfully tested our method through comparisons with meson-type two-body systems with analytic and numerical solutions. We then applied our method to find the ground-state solutions of $T_{cc}$($ud\bar{c}\bar{c}$) and $T_{bb}$($ud\bar{b}\bar{b}$) states. Our findings indicate that our approach outperforms existing methods, achieving greater accuracy in reproducing highly intricate configurations. Within the model parameters, we find that the $T_{cc}$ is a compact multiquark configuration.