Enhanced Multiqubit Phase Estimation in Noisy Environments by Local Encoding

DOA estimation in structured phase-noisy environments: technical report

In this paper we focus on the problem of estimating the directions of arrival (DOA) of a set of incident plane waves. Unlike many previous works, which assume that the received observations are only affected by additive noise, we consider the setup where some phase noise also corrupts the data (as for example observed in atmospheric sound propagation or underwater acoustics). We propose a new m...

Efficient Fitness Estimation in Noisy Environments

Experimental Phase Estimation Enhanced By Machine Learning

Phase estimation protocols provide a fundamental benchmark for the field of quantum metrology. The latter represents one of the most relevant applications of quantum theory, potentially enabling the capability of measuring unknown physical parameters with improved precision over classical strategies. Within this context, most theoretical and experimental studies have focused on determining the ...

Efficient digital encoding and estimation of noisy signals

In many applications in science and engineering one must rely on coarsely quantized and often unreliable noisy measurements in order to accurately and reliably estimate quantities of interest. This scenario arises, for instance, in distributed wireless sensor networks where measurements made at remote sensors need to be fused at a host site in order to decipher an information-bearing signal. Re...

Flocking in noisy environments

The problem of reaching a consensus in a group of autonomous agents has been the object of study in a number of situations ranging from linguistics [11, 18, 20] to distributed computing [25, 26] and from physics [27] to animal behavior [6, 13, 23, 24]. Research on the latter attempts to explain, by appropriately modeling it, the observed behavior of a group of animals, say a flock of birds, who...