Zobrazeno 1 - 10
of 773
pro vyhledávání: '"P. Cavazzoni"'
Routing classical and quantum information is a fundamental task for most quantum information technologies and processes. Here, we consider information encoded in the position of a quantum walker on a graph, and design an optimal structure to achieve
Externí odkaz:
http://arxiv.org/abs/2406.11834
We examine metrological scenarios where the parameter of interest is encoded onto a quantum state through the action of a noisy quantum gate and investigate the ultimate bound to precision by analyzing the behaviour of the Quantum Fisher Information
Externí odkaz:
http://arxiv.org/abs/2406.01590
We address quantum metrology in critical spin chains with anisotropy and Dzyaloshinskii-Moriya (DM) interaction, and show how local and quasi-local measurements may be exploited to characterize global properties of the systems. In particular, we eval
Externí odkaz:
http://arxiv.org/abs/2405.20296
Discrete-time quantum walk (DTQW) represents a convenient mathematical framework for describing the motion of a particle on a discrete set of positions when this motion is conditioned by the values of certain internal degrees of freedom, which are us
Externí odkaz:
http://arxiv.org/abs/2405.17354
We address quantum characterization of anisotropic spin chains in the presence of antisymmetric exchange, and investigate whether the Hamiltonian parameters of the chain may be estimated with precision approaching the ultimate limit imposed by quantu
Externí odkaz:
http://arxiv.org/abs/2401.14479
The optimization of the power consumption of antenna networks is a problem with a potential impact in the field of telecommunications. In this work, we investigate the application of the quantum approximate optimization algorithm (QAOA) and the quant
Externí odkaz:
http://arxiv.org/abs/2311.11621
We address metrological problems where the parameter of interest is encoded in the internal degree of freedom of a discrete-time quantum walker, and provide evidence that coin dimensionality is a potential resource to enhance precision. In particular
Externí odkaz:
http://arxiv.org/abs/2311.00171
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract We address quantum metrology in critical spin chains with anisotropy and Dzyaloshinskii–Moriya (DM) interaction, and show how local and quasi-local measurements may be exploited to characterize global properties of the systems. In particul
Externí odkaz:
https://doaj.org/article/fe8fa56600e34d6c87393c006a065927
Publikováno v:
CEUR Workshop Proceedings Vol. 3340, pp. 99-110, (2022)
Classic Machine Learning techniques require training on data available in a single data lake. However, aggregating data from different owners is not always convenient for different reasons, including security, privacy and secrecy. Data carry a value
Externí odkaz:
http://arxiv.org/abs/2303.17942
Training Deep Learning (DL) models require large, high-quality datasets, often assembled with data from different institutions. Federated Learning (FL) has been emerging as a method for privacy-preserving pooling of datasets employing collaborative t
Externí odkaz:
http://arxiv.org/abs/2303.10630