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20202026
most citedApproaching optimal entangling collective measurements on quantum computing platforms

73 citations · 258 across the 29 of their papers we have counts for

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12 papers · 1 filter

quant-ph2026

Quantum-optimized phase closure for robust interferometric imaging

Zhenning Liu, Emil T. Khabiboulline, Lorcan O. Conlon +7

Closure phase enables imaging with ground-based interferometric arrays by canceling telescope-dependent phase errors due to atmospheric fluctuations. It can be obtained by measurin…

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

Deciding the Attainability of the Multiparameter Quantum Fisher Information is NP-Hard

Lorcan O. Conlon, Laura Shou, V Vijendran +7

The quantum Fisher information (QFI) sets a fundamental bound on the attainable precision when estimating multiple parameters simultaneously. Incompatibility among the individually…

quant-ph2026

Optimal noisy sequential multiparameter quantum sensing

Andrew Tanggara, Lorcán O Conlon, Alexey V. Gorshkov +1

The most general strategy for estimating parameters of a quantum channel is to probe the channel many times sequentially with the help of coherent ancillary systems. However, findi…

quant-ph2026

Quantum advantage in learning single mode bosonic channels

Angela Anna Baiju, Aritra Das, Özlem Erkılıç +7

Quantum resources can dramatically reduce the data required to learn physical systems, with exponential improvements in sample complexity demonstrated in several quantum learning t…

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

Years of Quantum Uncertainty: From Origins to Modern Insights

Lorcan O. Conlon, Biveen Shajilal, Jie Zhao +6

Heisenberg's uncertainty principle is a cornerstone of quantum mechanics, marking a decisive departure from classical physics. Conceived almost a century ago through a thought expe…

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-ph2026

Ultimate sensitivity of multiparameter estimation in quantum sensing with undetected photons

Sanjeet Swaroop Panda, Lorcan O. Conlon, Li Gong +4

Quantum sensing with undetected photons is a technique where photons of one wavelength probe a sample, but information is extracted by measuring photons of another wavelength that…

quant-ph2026

Beating three-parameter precision trade-offs with entangling collective measurements

Simon K. Yung, Wen-Zhe Yan, Lan-Tian Feng +10

Quantum-mechanical incompatibility, which precludes the simultaneous precise measurement of non-commuting observables, imposes fundamental limits on the rate at which classical inf…

quant-ph2026★ 1 cited

Precision Bounds for Characterising Quantum Measurements

Aritra Das, Simon K. Yung, Lorcan O. Conlon +6

Quantum measurements, alongside quantum states and processes, form a cornerstone of quantum information processing. However, unlike states and processes, their efficient characteri…