Quantum thermometry exploits the high level of control in coherent devices to offer
enhanced precision for temperature estimation. This highlights the need for constructing …

Quantum metrology protocols are typically designed around the assumption that we have an
abundance of measurement data, but recent practical applications are increasingly driving …

Quantum sensors are now universally acknowledged as one of the most promising near-
term quantum technologies. The traditional formulation of quantum sensing introduces a …

Entanglement offers substantial advantages in quantum information processing, but loss
and noise hinder its application in practical scenarios. Although it has been well known for …

We discuss quantum variational optimization of Ramsey interferometry with ensembles of N
entangled atoms, and its application to atomic clocks based on a Bayesian approach to …

Bayesian analysis is a framework for parameter estimation that applies even in uncertainty
regimes where the commonly used local (frequentist) analysis based on the Cramér–Rao …

Making use of the general physical model of the Mach-Zehnder interferometer with photon
loss which is a fundamental physical issue, we investigate the continuous-variable quantum …

In this article, we propose a machine-learning framework for parameter estimation of single-
mode Gaussian quantum states. Under a Bayesian framework, our approach estimates …

In continuous-variable quantum information processing, quantum error correction of
Gaussian errors requires simultaneous estimation of both quadrature components of …

Quantum metrology and sensing seek advantages in estimating an unknown parameter of
some quantum state or channel, using entanglement such as spin squeezing produced by …