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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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11 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…

quant-ph2025

Optimally learning functions in interacting quantum sensor networks

Erfan Abbasgholinejad, Sean R. Muleady, Jacob Bringewatt +4

Estimating extensive combinations of local parameters in distributed quantum systems is a central problem in quantum sensing, with applications ranging from magnetometry to timekee…

quant-ph2025★ 1 cited

Lieb-Mattis states for robust entangled differential phase sensing

Raphael Kaubruegger, Diego Fallas Padilla, Athreya Shankar +9

We explore a two-node, entanglement-enhanced sensor network for differential phase sensing that exploits decoherence-free subspaces to suppress common-mode noise, a primary limitat…

quant-ph2025★ 1 cited

Theory of quantum-enhanced interferometry with general Markovian light sources

Erfan Abbasgholinejad, Daniel Malz, Ana Asenjo-Garcia +1

Quantum optical systems comprising quantum emitters interacting with engineered optical modes generate non-classical states of light that can be used as resource states for quantum…

quant-ph2023★ 1 cited

Boundary scattering tomography of the Bose Hubbard model on general graphs

Abhi Saxena, Erfan Abbasgholinejad, Arka Majumdar +1

Correlated quantum many-body phenomena in lattice models have been identified as a set of physically interesting problems that cannot be solved classically. Analog quantum simulato…

quant-ph2023

Extremum seeking control of quantum gates

Erfan Abbasgholinejad, Haoqin Deng, John Gamble +4

To be useful for quantum computation, gate operations must be maintained at high fidelities over long periods of time. In addition to decoherence, slow drifts in control hardware l…