Novel Approach to Unveil Quantum Phase Transitions Using Fidelity Map

TL;DR

This paper introduces the fidelity map, a new multi-dimensional approach that improves the detection of quantum phase transitions across various models with higher accuracy and sensitivity than traditional methods.

Contribution

The authors develop a fidelity map technique that extends fidelity analysis to multiple dimensions and employs meta-heuristic algorithms to precisely locate critical points in complex quantum systems.

Findings

Successfully detects diverse quantum phase transitions

Outperforms conventional fidelity measures in accuracy

Applicable to models with unconventional phases

Abstract

Fidelity approach has been widely used to detect various types of quantum phase transitions, including some that are beyond the Landau symmetry breaking theory, in condensed matter models. However, challenges remain in locating the transition points with precision in several models with unconventional phases such as the quantum spin liquid phase in spin-1 Kitaev-Heisenberg model. In this work, we propose a novel approach, which we named the fidelity map, to detect quantum phase transitions with higher accuracy and sensitivity as compared to the conventional fidelity measures. Our scheme extends the fidelity concept from a single dimension quantity to a multi-dimensional quantity, and use a meta-heuristic algorithm to search for the critical points that globally maximized the fidelity within each phase. We test the scheme in three interacting condensed matter models, namely the spin-1 Kitaev Heisenberg model which consists of the quantum spin liquid phase and the topological Haldane phase, the spin-1/2 XXZ model which possesses a Berezinskii-Kosterlitz-Thouless transition, and the Su-Schrieffer-Heeger model that exhibits a topological quantum phase transition. The result shows that the fidelity map can capture a wide range of phase transitions accurately, thus providing a new tool to study phase transitions in unseen models without prior knowledge of the system's symmetry.