Estimation of physical quantities is at the core of most scientific research, and the use of
quantum devices promises to enhance its performances. In real scenarios, it is fundamental …

Distributed quantum metrology has drawn intense interest as it outperforms the optimal
classical counterparts in estimating multiple distributed parameters. However, most schemes …

Variational quantum metrology represents a powerful tool to optimize estimation strategies,
resulting particularly beneficial for multiparameter estimation problems that often suffer from …

Characterizing the time over which quantum coherence survives is critical for any
implementation of quantum bits, memories, and sensors. The usual method for determining …

Adopting quantum resources for parameter estimation discloses the possibility to realize
quantum sensors operating at a sensitivity beyond the standard quantum limit. Such an …

We present an experimental implementation of a two-qubit photonic quantum processor
fabricated using femtosecond laser writing technology. We employ femtosecond laser …

Quantum-phase-estimation algorithms are critical subroutines in many applications for
quantum computers and in quantum-metrology protocols. These algorithms estimate the …

The bipartite and multipartite entanglement resources of quantum networks can enhance
sensitivity for estimating distributed parameters beyond the classical limits. Recent …

Quantum sensing networks (QSNs) incorporate quantum sensing and quantum
communication to achieve Heisenberg precision and unconditional security by leveraging …

Quantum-enhanced (ie, higher performance by quantum effects than any classical methods)
mean value estimation of observables is a fundamental task in various quantum …