El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario

Fecha: Viernes 12 de Abril

Hora: 10:00 am

Lugar:  Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) 

Ponente: Antonio Ruiz-Molero (INL Braga)

Titulo: Estimation of environmental parameters in open quantum systems using Bayesian learning. Application to quantum dots.

Resumen: In open quantum dynamics, the structure of the environment determines the way a system loses its coherence. In this seminar, we show how to use a Bayesian learning protocol to infer properties of the environment from experimental data. Specifically, we estimate a set of scalar parameters of the spectral density of the bath that interacts with a quantum dot via exciton-phonon interaction in the weak coupling regime, using simulated data. We will compare offline and online protocols and their performance. For those without a background in the topic, we will review concepts on the theory of open quantum systems, quantum metrology, quantum process tomography, and parameter estimation.

El seminario es accesible para los estudiantes de grado, a los que recomendamos encarecidamente que asistan.  Para aquellos que no puedan asistir, también hemos configurado una reunión de Google donde el seminario se transmitirá en vivo.

También os recordamos a todos la página web del Seminario de Grupos,

https://ic1.ugr.es/eventos/wp/qjc/

donde se publicarán anuncios pasados, presentes y futuros. 

Nos vemos a todos allí

DJM

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Dear all

The Quantum Thermodynamics and Computation group cordially invites you to the following seminar 

Date: Friday 12th April

Time: 10:00 am

Location:  Computational Physics Laboratory, Department of Electromagnetism and Condensed Mater,  Ground Floor, Faculty of Science (next to the giant pendulum)

Speaker: Antonio Ruiz-Molero (INL Braga)

Title: Estimation of environmental parameters in open quantum systems using Bayesian learning. Application to quantum dots.

Abstract:  In open quantum dynamics, the structure of the environment determines the way a system loses its coherence. In this seminar, we show how to use a Bayesian learning protocol to infer properties of the environment from experimental data. Specifically, we estimate a set of scalar parameters of the spectral density of the bath that interacts with a quantum dot via exciton-phonon interaction in the weak coupling regime, using simulated data. We will compare offline and online protocols and their performance. For those without a background in the topic, we will review concepts on the theory of open quantum systems, quantum metrology, quantum process tomography, and parameter estimation.

The seminar is accessible to undergraduate students, whom we strongly encourage to attend. For those of you unable to attend the seminar, we have set-up the following  google meet link for the upcoming seminar.

We would also like to bring to your attention the groups seminar page 
 
https://ic1.ugr.es/eventos/wp/qjc/
 
where you can find relevant material and information about past, present, and future seminars. 

See you all there

DJM.