Author

E. Abbasgholinejad

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Preprint Oct 2026

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

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

Preprint Sep 2026

Error-corrected function estimation advantage in multiparameter Hamiltonians

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

Preprint Jul 2026

Fault-Tolerant Heisenberg-Limited Quantum Sensing

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