02.12.2021NANO COLLOQUIA S3 Avinash Vikatakavi
Date and Time: December 2, 2021 - 15.00 ONLINE
25.11.2021Producing electricity from heat losses: engineered in Pisa the first device capable of achieving it in a controlled manner
It is now possible to create a new generation of “smart” thermoelectric systems to generate clea...
23.11.2021il progetto RIMMEL @ MECSPE - Bologna 2021
Si svolgerà martedì 23 novembre, dalle 16.45 alle 17.45 (Sala Concerto c/o Centro Servizi – Bolo...
19.11.2021Graphene as a solid lubricant becomes super-slippery
Cnr Nano researchers in collaboration with Sussex University and Rice University studied the frictio...
17.11.2021International Workshop on Advanced Materials-to-Device Solutions for Synaptic Electronics
CNR Nano and ICN2 organized the
03.11.2021The RIMMEL Project @ l'Europa è qui 2021 – VOTE THE VIDEO ONLINE
The RIMMEL project enters the “Europe is here ...
11.10.2021Quantum computers become an experimental physics laboratory
A quantum computer is a machine designed to do calculations. Now a group of physicists from CnrNano,...
05.10.20212021 Nobel Prize for the discoveries on TRPV1 and PIEZO receptors
The seminal discoveries by this year’s Nobel Laureates have explained how heat, cold and touch can...
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Date and Time: Semptember 16, 2021 - 11.00 ONLINE https://global.gotomeeting.com/join/836910669 Speaker: Vittorio Giovannetti Title: Quantum Energy Lines and the optimal output ergotropy problem Abstract: We study the transferring of useful energy (work) along a transmission line that allows for partial preservation of quantum coherence. As a figure of merit we adopt the maximum values that ergotropy, total ergotropy, and non-equilibrium free-energy attain at the output of the line for an assigned input energy threshold. For Phase-Invariant Bosonic Gaussian Channels (BGCs) models, we show that coherent inputs are optimal. For (one-mode) not Phase-Invariant BGCs we solve the optimization problem under the extra restriction of Gaussian input signals. Host: Fabio Taddei fabio.taddei@nano.cnr.it and Stefan Heun stefan.heun@nano.cnr.it