0000000000460231
AUTHOR
A. Ferraro
Potential and limitations of quantum extreme learning machines
Quantum reservoir computers (QRC) and quantum extreme learning machines (QELM) aim to efficiently post-process the outcome of fixed -- generally uncalibrated -- quantum devices to solve tasks such as the estimation of the properties of quantum states. The characterisation of their potential and limitations, which is currently lacking, will enable the full deployment of such approaches to problems of system identification, device performance optimization, and state or process reconstruction. We present a framework to model QRCs and QELMs, showing that they can be concisely described via single effective measurements, and provide an explicit characterisation of the information exactly retriev…
Le pollinosi da oleacee. Indagine aerobiologica nell'atmosfera della città di Palermo
Sono stati effettuati tre anni (1984–86) di osservazioni epidemiologiche ed aerobiologiche per ricercare la relazione esistente tra concentrazione pollinica giornaliera delle Oleacee nell' atmosfera della citta di Palermo e numero di casi di pollinosi dovute a tale polline.