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20212026
most citedNumerical and quantum simulation of a quantum disentangled liquid

1 citations · 4 across the 9 of their papers we have counts for

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6 papers · 1 filter

quant-ph2026

Moving quantum sensors

Evan Zhang, Erfan Abbasgholinejad, Yu-Xin Wang +6

We investigate whether controlled motion of a quantum sensor offers a metrological advantage in a field-detection task. We consider a localized field of known strength occupyin…

quant-ph2026

Bosonic unstructured search: quantum enhancement without entanglement

Yu-Xin Wang, Erfan Abbasgholinejad, Supratik Sarkar +4

We consider unstructured search using multimode bosonic quantum systems under energy constraints. The task is to locate an unknown marked mode among possibilities using arbitra…

quant-ph2026

Super-Exponential Advantage of Squeezed Light in Phase Estimation under Discrete Phase Randomisation

Lorcan O. Conlon, V Vijendran, Aritra Das +7

A paradigmatic task in quantum metrology is that of phase estimation. For this task it is commonly believed, under reasonable assumptions about prior information, that a quadratic…

quant-ph2026

Error-corrected function estimation advantage in multiparameter Hamiltonians

Erfan Abbasgholinejad, Lorcán O. Conlon, Sean R. Muleady +4

We establish the ultimate precision limits for estimating a function of multiple Hamiltonian parameters in the presence of Markovian noise. By reducing multiparameter function esti…

quant-ph2026

Fault-Tolerant Heisenberg-Limited Quantum Sensing

Lorcan O. Conlon, Yu-Xin Wang, Erfan Abbasgholinejad +3

Quantum sensors hold great promise for achieving better sensitivity in the measurement of physical quantities compared to their classical counterparts. However, the conditions unde…

quant-ph2026

Multiparameter function estimation for general Hamiltonians

Erfan Abbasgholinejad, Sean R. Muleady, Jacob Bringewatt +2

Estimation of physical parameters encoded in a Hamiltonian is a central task in quantum sensing and learning. While the ultimate precision limit for estimating a single parameter c…