Configuration-dependent precision in magnetometry and thermometry using multi-qubit quantum sensors
Asghar Ullah, \"Ozg\"ur E. M\"ustecapl{\i}o\u{g}lu, Matteo G. A. Paris

TL;DR
This study explores how the geometry and magnetic interactions of four-qubit quantum sensors influence their precision in measuring magnetic fields and temperature, revealing configuration-dependent optimal performance regimes.
Contribution
It introduces a comprehensive analysis of multi-qubit sensor geometries and interactions, highlighting their impact on metrological precision and proposing a spectral sensitivity measure as a heuristic tool.
Findings
Weakly connected graphs excel at weak-field magnetometry.
Highly connected graphs perform better under strong magnetic fields.
Certain configurations are optimal for temperature estimation in the weak-field regime.
Abstract
We study the performance of quantum sensors composed of four qubits arranged in different geometries for magnetometry and thermometry. The qubits interact via the transverse-field Ising model with both ferromagnetic and antiferromagnetic couplings, maintained in thermal equilibrium with a heat bath under an external magnetic field. Using quantum Fisher information, we evaluate the metrological precision of these sensors. For ferromagnetic couplings, weakly connected graphs (e.g., the chain graph, P_4) perform optimally in estimating weak magnetic fields, whereas highly connected graphs (e.g., the complete graph, K_4) excel at strong fields. Conversely, K_4 achieves the highest sensitivity for temperature estimation in the weak-field regime. In the antiferromagnetic case, we uncover a fundamental trade-off dictated by spectral degeneracy: configurations with non-degenerate energy spectra…
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Taxonomy
TopicsAtomic and Subatomic Physics Research · Quantum Information and Cryptography · Mechanical and Optical Resonators
