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October 2020

NANO Colloquia 2020 in streaming - Michele Campisi

Date and Time: Thursday October 15, 2020 - 11:00
Speaker: Michele Campisi - NEST, NANO-CNR

Title: Thermodynamics of a quantum annealer

Abstract:
The D-wave processor is a partially controllable open quantum system that exchanges energy with its surrounding environment (in the form of heat) and with the external time dependent control fields (in the form of work). Despite being rarely thought as such, it is a thermodynamic machine. Here we investigate the properties of the D-Wave quantum annealers from a thermodynamical perspective. We performed a number of reverse-annealing experiments on the D-Wave 2000Q via the open access cloud server Leap, with the aim of understanding what type of thermal operation the machine performs, and quantifying the degree of dissipation that accompanies it, as well as the amount of heat and work that it exchanges. The latter is a challenging task in view of the fact that one can experimentally access only the overall energy change occurring in the processor, (which is the sum of heat and work it receives). However, recent results of non-equilibrium thermodynamics (namely, the fluctuation theorem and the thermodynamic uncertainty relations), allow to calculate lower bounds on the average entropy production (which quantifies the degree of dissipation) as well as the average heat and work exchanges. The analysis of the collected experimental data shows that (1) in a reverse annealing process the D-Wave processor works as a thermal accelerator and (2) its evolution involves an increasing amount of dissipation with increasing transverse field.

Ref.: Quantum Sci. Technol. 5 035013 (2020) https://doi.org/10.1088/2058-9565/ab9755

Venue: in streaming

Streaming at: meet.google.com/daz-tqpv-nwr

Once connected, please switch off your microphone and camera. If you have questions (only at the end of the presentation) please use the chat to ask for attention.

For information, please contact:
Fabio Taddei (9038) - fabio.taddei@nano.cnr.it
Stefan Heun (9472) - stefan.heun@nano.cnr.it


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