--------------------------------------------------------------------------------- Daniel Manzano Electromagnetism and Condensed Matter Department Institute “Carlos I” for Theoretical and Computational Physics University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 http://ic1.ugr.es/manzano/

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From: Michalis Skotiniotis Subject: [Materia] Thermodynamics and Quantum Computation Seminars: Quantum Computing for Machine Learning and Data Science (Seminars 2 & 3) Date: 11. June 2023 at 22:10:35 CEST To: Materia , materia-seminarios@onsager.ugr.es, infoconfe@listas.ugr.es, Juani Bermejo Vega Cc: juancalvo@ugr.es, alvaroiturbe@correo.ugr.es, Jordi Prieto Gallego , edufco6@correo.ugr.es, rogonzal@ugr.es, Adrián Marín , RafaelJA@correo.ugr.es

El grupo de Termodinámica y Computación Cuántica les invita al siguiente dos seminarios, una continuación sobre el tema de la computación cuántica para el aprendizaje automático y la ciencia de datos, por Juani Bermejo Vega

Seminario 2

Fecha: 13 Junio, 2023

Hora: 11:00 am

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

Seminario 3

Fecha: 16 Junio, 2023

Hora: 11:00 am

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

Ponente: Juani Bermejo Vega (Grupo de Termodinamica y Informació Cuántica)

Titulo: Quantum computing for machine learning and data science

Resumen: Quantum computing is an emerging research field at the intersection of physics, computer science and applied mathematics. Quantum computers are devices that exploit coherent quantum phenomena to speed-up calculations. Quantum machine learning is a subfield of quantum computing that investigates the application of quantum computers algorithms for machine learning problems. This course will give an elementary introduction to quantum machine learning, and review a few examples of quantum algorithms for classification and clustering problems. In our first meeting, we will give a general introduction, and review quantum algorithms for solving linear systems of equations, Grover search and simulating sparse Hamiltonian dynamics.

El mini curso es accesible para los estudiantes de grado, a los que recomendamos encarecidamente que asistan

Nos vemos a todos allí

DJM

______________________________________________________________________________________________________

Dear all

The Quantum Thermodynamics and Computation group cordially invites you to the following two seminars, continuing on the topic of Quantum computing for machine learning and data science, by Juani Bermejo Vega

Seminar 2

Date: 13 Junio, 2023

Time: 11:00 am

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

Seminar 3

Date: 16 Junio, 2023

Time: 11:00 am

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

Speaker: Juani Bermejo Vega (Quantum Thermodynamics and Computation group)

Title: Quantum computing for machine learning and data science

Abstract: Quantum computing is an emerging research field at the intersection of physics, computer science and applied mathematics. Quantum computers are devices that exploit coherent quantum phenomena to speed-up calculations. Quantum machine learning is a subfield of quantum computing that investigates the application of quantum computers algorithms for machine learning problems. This course will give an elementary introduction to quantum machine learning, and review a few examples of quantum algorithms for classification and clustering problems. In our first meeting, we will give a general introduction, and review quantum algorithms for solving linear systems of equations, Grover search and simulating sparse Hamiltonian dynamics.

This mini course is accessible to undergraduate students, whom we strongly encourage to attend.

See you all there

DJM. _______________________________________________ Materia mailing list -- materia@onsager.ugr.es To unsubscribe send an email to materia-leave@onsager.ugr.es