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20172026
most citedSub-millihertz magnetic spectroscopy with a nanoscale quantum sensor

375 citations · 375 across the 6 of their papers we have counts for

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quant-ph2026

Detection methods for optimal target reflectivity estimation with two-mode squeezed vacuum probes

Harel Radia, Tuvia Gefen, Nadav Katz

Target reflectivity estimation using a two-mode squeezed vacuum (TMSV) probe offers a theoretical advantage over classical schemes, but realizing this potential under the measureme…

quant-ph2026

Gaussian Quantum Metrology with Realistic Linear Sensors

Jacques Ding, James W. Gardner, Tuvia Gefen +1

Quantum sensing promises enhanced precision, but the usual quantum Cramer Rao bound can be too optimistic for realistic linear sensors, where squeezing, filtering, and loss reshape…

quant-ph2026

Stochastic signal sensing with finite energy and dead time at the fundamental quantum limit

James W. Gardner, Tuvia Gefen, Matteo Fadel

State preparation, measurement, and reset operations take finite time and use finite energy in realistic experiments, yet the impact of this on optimal quantum metrological protoco…

quant-ph2026

Optimal quantum metrology protocols with erasure qubits

Michal Arieli, Alex Retzker, Tuvia Gefen

We investigate the precision limits and optimal protocols for sensing single qubit signals in the presence of erasure noise. We study a hierarchy of precision limits achievable wit…

quant-ph2026

Quantum superresolution and noise spectroscopy with quantum computing

James W. Gardner, Federico Belliardo, Gideon Lee +2

Quantum metrology of an incoherent signal is a canonical sensing problem related to superresolution and noise spectroscopy. We show that quantum computing can accelerate searches f…

quant-ph2025

Extending the dynamic range in quantum frequency estimation with sequential weak measurements

Su Direkci, Manuel Endres, Tuvia Gefen

Quantum metrology explores optimal quantum protocols for parameter estimation. In the context of optical atomic clocks, conventional protocols focus on optimal input states and mea…