Enhanced Sensitivity and Noise Resilience in Two-Qubit Quantum Magnetometers

TL;DR

This paper introduces a new two-qubit quantum magnetometer design that enhances sensitivity and noise resilience, combining theoretical derivations with practical analysis to improve magnetic field sensing capabilities.

Contribution

The paper proposes a novel two-qubit Hamiltonian optimized for sensitivity and noise robustness, advancing quantum magnetometry beyond existing models.

Findings

Improved Quantum Fisher Information and SNR for the proposed magnetometer

Enhanced robustness against noise compared to previous models

Entanglement benefits in sensitivity demonstrated through initial state analysis

Abstract

We present a novel two-qubit quantum magnetometer Hamiltonian optimized for enhanced sensitivity and noise resilience. Compared to existing models, our formulation offers advantages in accuracy, robustness against noise, and entanglement dynamics. Using analytical methods, we derive the Quantum Fisher Information (QFI) and the Signal-to-Noise Ratio (SNR), highlighting its practical viability for magnetic field sensing. Our approach bridges theoretical insights with real-world applicability. We further analyze the performance of the magnetometer with a different initial entangled state, revealing the benefits of entanglement for sensitivity. A comparative analysis with leading research in the field underscores the advancements offered by our proposed design. Finally, we discuss the limitations of our current study and suggest potential avenues for future research.