In parameter estimation, nuisance parameters refer to parameters that are not of interest but
nevertheless affect the precision of estimating other parameters of interest. For instance, the …

Taking a quick look at this book, a reader might think: Oh, here comes another book on
quantum computing, quantum information theory, and quantum communications! This may …

In quantum metrology, one of the major applications of quantum technologies, the ultimate
precision of estimating an unknown parameter is often stated in terms of the Cram\'er-Rao …

We derive a bound on the precision of state estimation for finite dimensional quantum
systems and prove its attainability in the generic case where the spectrum is non …

Central to the success of adaptive systems is their ability to interpret signals from their
environment and respond accordingly—they act as agents interacting with their …

The ability to extract relevant information is critical to learning. An ingenious approach as
such is the information bottleneck, an optimisation problem whose solution corresponds to a …

In this paper, we analyze quantum-state estimation problems when some of the parameters
are of no interest to be estimated. In classical statistics, these irrelevant parameters are …

In quantum metrology, it is widely believed that the quantum Cramér–Rao bound is an
attainable bound. However, this is not always true. In order to clarify this point, we explain …

Stochastic modeling of complex systems plays an essential, yet often computationally
intensive, role across the quantitative sciences. Recent advances in quantum information …

In the quest to unlock the maximum potential of quantum sensors, it is of paramount
importance to have practical measurement strategies that can estimate incompatible …