Closure phase enables imaging with ground-based interferometric arrays by canceling telescope-dependent phase errors due to atmospheric fluctuations. It can be obtained by measuring fringe phases on individual baselines forming a triangle and summing them. We show that closure phases can be measured more accurately wit...
Zhen-Ning Liu, Emil T. Khabiboulline, Lorcán O. Conlon et al.· 0 citations
The quantum Fisher information (QFI) sets a fundamental bound on the attainable precision when estimating multiple parameters simultaneously. Incompatibility among the individually optimal measurements can, in some cases, imply that the precision limit set by the QFI is not attainable. In certain special cases, includi...
Lorcán O. Conlon, Laura Shou, V. Vijendran et al.· 0 citations
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 advantage in sensitivity is the maximum possible advantage offered by the use of quantum resources. In this work, we consider a channel that...
Lorcán O. Conlon, V. Vijendran, Aritra Das et al.· 0 citations
We establish the ultimate precision limits for estimating a function of multiple Hamiltonian parameters in the presence of Markovian noise. By reducing multiparameter function estimation to an optimization over effective single-parameter embeddings, we derive tight bounds on the quantum Fisher information. We identify...
E. Abbasgholinejad, Lorcán O. Conlon, S. R. Muleady et al.· 0 citations
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, finding the strategy that minimizes the mean-squared error (MSE) is a notoriously hard problem, requiring optimization over the initial probe sta...
Andrew Tanggara, Lorcán O. Conlon, Alexey V. Gorshkov et al.· 0 citations
The results show that a single bosonic mode can exhibit exponential quantum learning advantages without entanglement or an increase in system size, identifying accessible Fourier bandwidth as a fundamentally distinct resource for quantum-enhanced learning.
A. A. Baiju, Aritra Das, Ozlem Erkilic et al.· 2 citations
This work considers a qubit noise model where the probability of phase-flip errors is exponentially smaller (in qubit number) compared to the probability of bit-flip errors that occur with probability p, and demonstrates that Heisenberg scaling can be attained for times up to T\propto 1/p^{(N+1)/2} for a N-qubit repeti...
Lorcán O. Conlon, Yu-Xin Wang, E. Abbasgholinejad et al.· 1 citation
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