- Materia-seminarios

SEMINAR de Grupo de Termodinámica y Computación Cuántica---Daniel Manzano II
by mskotiniotis 13 Oct '23

13 Oct '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: Jueves 19-10-2023 Hora: 13:00 am Lugar: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Ponente: Daniel Manzano (Universidad de Granada) Titulo: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles (segunda parte) Resumen: The theory of open quantum system is one of the most essential tools for the development of quantum technologies. Furthermore, the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) Master Equation plays a key role as it is the most general generator of Markovian dynamics in quantum systems. In this presentation, we present this equation together with its derivation from microscopic principles. The presentation tries to be as self-contained and straightforward as possible to be useful to readers with no previous knowledge of this field. Undergrad, master, and PhD students are encouraged to assist. Reference: https://pubs.aip.org/aip/adv/article/10/2/025106/1021638/A-short-introducti… 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. https://meet.google.com/smd-zjdh-rwc 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. Marque esta página como favorita, ya que también pretendemos cargar grabaciones de video del seminario a las que podrá acceder en cualquier momento. Nos vemos a todos allí DJM ____________________________________________________________________________ Dear all The Quantum Thermodynamics and Computation group cordially invites you to the following seminar Date: Thursday 19-10-2023 Time: 13:00 am Location: Computational Physics Laboratory, Department of Electromagnetism and Condensed Mater, Ground Floor, Faculty of Science (next to the giant pendulum) Speaker: Daniel Manzano (University of Granada) Title: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles (part two) Abstract: The theory of open quantum system is one of the most essential tools for the development of quantum technologies. Furthermore, the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) Master Equation plays a key role as it is the most general generator of Markovian dynamics in quantum systems. In this presentation, we present this equation together with its derivation from microscopic principles. The presentation tries to be as self-contained and straightforward as possible to be useful to readers with no previous knowledge of this field. Undergrad, master, and PhD students are encouraged to assist. 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. https://meet.google.com/smd-zjdh-rwc 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. Bookmark this page as we intend on uploading video recordings of the seminars that you can access at any time. See you all there DJM.

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Video de la primera conferencia
by Michalis Skotiniotis 09 Oct '23

09 Oct '23

Estimados. Encuentre un enlace a la conferencia del viernes pasado en el sitio web del seminario del grupo. https://ic1.ugr.es/eventos/wp/qjc/2023/10/05/an-introduction-to-the-lindbla… La contraseña para acceder al vídeo es contraseña: M@nz@n0 Tenga en cuenta que el enlace estará activo durante un mes. Atentamente, DJM ——————————————————————————————————————————————————————————————————————————————————————————————— Dear all Please find a link to last Friday’s lecture at the group’s Seminar Website https://ic1.ugr.es/eventos/wp/qjc/2023/10/05/an-introduction-to-the-lindbla… The password is Password: M@nz@n0 Please note that the link will be active for a month. Sincerely, DJM --------------------------------------------------------- Dr. Michalis Skotiniotis Grupo de Termodinámica y Informació Cuántica Departamento de Electromagnetismo y Física de la Materia Facultad de Ciencias Universidad de Granada Email: mskotiniotis(a)onsager.ugr.es ---------------------------------------------------------

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Reminder: SEMINAR de Grupo de Termodinámica y Computación Cuántica---Daniel Manzano
by Michalis Skotiniotis 05 Oct '23

05 Oct '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: 6 Octubre 2023 Hora: 13:00 pm Lugar: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Ponente: Daniel Manzano (Universidad de Granada) Titulo: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles. Resumen: The theory of open quantum system is one of the most essential tools for the development of quantum technologies. Furthermore, the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) Master Equation plays a key role as it is the most general generator of Markovian dynamics in quantum systems. In this presentation, we present this equation together with its derivation from microscopic principles. The presentation tries to be as self-contained and straightforward as possible to be useful to readers with no previous knowledge of this field. Undergrad, master, and PhD students are encouraged to assist. Reference: https://pubs.aip.org/aip/adv/article/10/2/025106/1021638/A-short-introducti… 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. https://meet.google.com/boc-uamd-iti 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. Marque esta página como favorita, ya que también pretendemos cargar grabaciones de video del seminario a las que podrá acceder en cualquier momento. Nos vemos a todos allí DJM ________________________________________________________________________________ Dear all The Quantum Thermodynamics and Computation group cordially invites you to the following seminar Date: 6 October 2023 Time: 13:00 am Location: Computational Physics Laboratory, Department of Electromagnetism and Condensed Mater, Ground Floor, Faculty of Science (next to the giant pendulum) Speaker: Daniel Manzano (University of Granada) Title: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles. Abstract: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles. Resumen: The theory of open quantum system is one of the most essential tools for the development of quantum technologies. Furthermore, the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) Master Equation plays a key role as it is the most general generator of Markovian dynamics in quantum systems. In this presentation, we present this equation together with its derivation from microscopic principles. The presentation tries to be as self-contained and straightforward as possible to be useful to readers with no previous knowledge of this field. Undergrad, master, and PhD students are encouraged to assist. Reference: https://pubs.aip.org/aip/adv/article/10/2/025106/1021638/A-short-introducti… 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. https://meet.google.com/boc-uamd-iti 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. Bookmark this page as we intend on uploading video recordings of the seminars that you can access at any time. See you all there DJM. --------------------------------------------------------- Dr. Michalis Skotiniotis Grupo de Termodinámica y Informació Cuántica Departamento de Electromagnetismo y Física de la Materia --------------------------------------------------------- Dr. Michalis Skotiniotis Grupo de Termodinámica y Informació Cuántica Departamento de Electromagnetismo y Física de la Materia Facultad de Ciencias Universidad de Granada Email: mskotiniotis(a)onsager.ugr.es ---------------------------------------------------------

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SEMINAR de Grupo de Termodinámica y Computación Cuántica---Daniel Manzano
by Michalis Skotiniotis 29 Sep '23

29 Sep '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: 6 Octubre 2023 Hora: 13:00 pm Lugar: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Ponente: Daniel Manzano (Universidad de Granada) Titulo: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles. Resumen: The theory of open quantum system is one of the most essential tools for the development of quantum technologies. Furthermore, the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) Master Equation plays a key role as it is the most general generator of Markovian dynamics in quantum systems. In this presentation, we present this equation together with its derivation from microscopic principles. The presentation tries to be as self-contained and straightforward as possible to be useful to readers with no previous knowledge of this field. Undergrad, master, and PhD students are encouraged to assist. Reference: https://pubs.aip.org/aip/adv/article/10/2/025106/1021638/A-short-introducti… El seminario 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 seminar Date: 6 October 2023 Time: 13:00 am Location: Computational Physics Laboratory, Department of Electromagnetism and Condensed Mater, Ground Floor, Faculty of Science (next to the giant pendulum) Speaker: Daniel Manzano (University of Granada) Title: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles. Abstract: An introduction to the Lindblad Master Equation I. Derivation from microscopic principles. Resumen: The theory of open quantum system is one of the most essential tools for the development of quantum technologies. Furthermore, the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) Master Equation plays a key role as it is the most general generator of Markovian dynamics in quantum systems. In this presentation, we present this equation together with its derivation from microscopic principles. The presentation tries to be as self-contained and straightforward as possible to be useful to readers with no previous knowledge of this field. Undergrad, master, and PhD students are encouraged to assist. Reference: https://pubs.aip.org/aip/adv/article/10/2/025106/1021638/A-short-introducti… The seminar is accessible to undergraduate students, whom we strongly encourage to attend. See you all there DJM. --------------------------------------------------------- Dr. Michalis Skotiniotis Grupo de Termodinámica y Informació Cuántica Departamento de Electromagnetismo y Física de la Materia Facultad de Ciencias Universidad de Granada Email: mskotiniotis(a)onsager.ugr.es ---------------------------------------------------------

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Quantum Thermodynamics and Computation Seminars: Joaquín J. Torres
by Michalis Skotiniotis 10 Jul '23

10 Jul '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: 10 Julio, 2023 Hora: 12:00 am Lugar: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Ponente: Joaquín J. Torres (Departaménto de Electromagnetísmo y Física de la Matéria) Titulo: A biological inspired quantum synapse paradigm Resumen: In this talk, I will review our recent research on the development of quantum neural networks, including biologically inspired dynamic qubits interactions. Our motivation was to build quantum versions of synaptic processes as they occur in real neural systems, that is, to build "quantum synapses" between qubits. In particular, I will report the results on the study of a minimal model of two interacting qubits with an activity-dependent dynamic interaction as in classical dynamic synapses that induce the so-called synaptic depression, that is, synapses that exhibit synaptic fatigue after a strong presynaptic stimulation. Our study shows that such time-dependent interaction induces Rabi oscillations whose frequency decreases when synaptic depression is introduced, thus excitations can be trapped for a long period of time. This creates a population imbalance between the qubits even though the Hamiltonian is Hermitian. This imbalance can be maintained over time by introducing a small energy change between the qubits. We have also shown that long-time entanglement between the two qubits increases naturally in the presence of synaptic depression. Furthermore, I will describe the analysis of a plausible experimental setup of our two-qubit system that demonstrates that these results are robust and achievable experimentally in a laboratory, and I will illustrate preliminary results related to the extension of our system to larger quantum neural networks. Nos vemos a todos allí DJM ________________________________________________________________________________ Dear all The Quantum Thermodynamics and Computation group cordially invites you to the following seminar Date: 10 July, 2023 Time: 12:00 am Location: Computational Physics Laboratory, Department of Electromagnetism and Condensed Mater, Ground Floor, Faculty of Science (next to the giant pendulum) Speaker: Joaquín J. Torres (Department of Electromagnetism and Condensed Matter) Title: A biological inspired quantum synapse paradigm Abstract: In this talk, I will review our recent research on the development of quantum neural networks, including biologically inspired dynamic qubits interactions. Our motivation was to build quantum versions of synaptic processes as they occur in real neural systems, that is, to build "quantum synapses" between qubits. In particular, I will report the results on the study of a minimal model of two interacting qubits with an activity-dependent dynamic interaction as in classical dynamic synapses that induce the so-called synaptic depression, that is, synapses that exhibit synaptic fatigue after a strong presynaptic stimulation. Our study shows that such time-dependent interaction induces Rabi oscillations whose frequency decreases when synaptic depression is introduced, thus excitations can be trapped for a long period of time. This creates a population imbalance between the qubits even though the Hamiltonian is Hermitian. This imbalance can be maintained over time by introducing a small energy change between the qubits. We have also shown that long-time entanglement between the two qubits increases naturally in the presence of synaptic depression. Furthermore, I will describe the analysis of a plausible experimental setup of our two-qubit system that demonstrates that these results are robust and achievable experimentally in a laboratory, and I will illustrate preliminary results related to the extension of our system to larger quantum neural networks. See you all there DJM.

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Quantum Thermodynamics and Computation Seminars: Juani Bermejo Vega
by Michalis Skotiniotis 15 Jun '23

15 Jun '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario, una continuación sobre el tema de la computación cuántica para el aprendizaje automático y la ciencia de datos, por Juani Bermejo Vega 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 seminar, continuing on the topic of Quantum computing for machine learning and data science, by Juani Bermejo Vega 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.

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Thermodynamics and Quantum Computation Seminars: Quantum Computing for Machine Learning and Data Science
by Michalis Skotiniotis 11 Jun '23

11 Jun '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: 2 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 seminar Date: 2 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.

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Thermodynamics and Quantum Computation Seminars: Quantum Computing for Machine Learning and Data Science
by Michalis Skotiniotis 22 May '23

22 May '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: 26 Mayo, 2023 Hora: 12:00 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 seminar Date: 26 Mayo, 2023 Time: 12:00 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.

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Seminar: Why Quantum?
by Michalis Skotiniotis 08 May '23

08 May '23

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario. Ponente: Yelena Guryanova. IQOQI Vienna. Título: Why quantum? Resumen: When we look at the results of experiments in the lab, why is it that they all seem to obey the postulates of quantum mechanics? Could there be some underlying principle, (or a set of principles) that singles out quantum theory as an ’island in theory space’? Is quantum theory special because it obeys special relativity? Or perhaps because we need to send a non-trivial amount of information to communicate? Could one devise an ‘almost quantum’ theory that satisfies similar requirements? In this talk we’ll look at information-theoretic research, historic and present-day, to see what progress has been made into understanding why the world seems to be quantum. Fecha y hora: Miercoles 10 de Mayo 2023, a las 11:00-12:00. Lugar: Facultad de ciencias. Departamento de Electromagnetismo y Física Materia. Laboratorio de Física Computacional. Michalis Skotiniotis

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Thermodynamics and Quantum Computation Seminars: Quantum Statistical Inference
by Michalis Skotiniotis 02 May '23

02 May '23

Hola tod@s. Este Viernes tenemos la segunda parte de nuestra serie sobre Inferencía estatística: la parte concerniente el uso de phenomenas cuànticas. Como la última vez el seminario será impartido por Michalis Skotiniotis (titulo y resumen a continuación) a las 12:00 en el Laboratorio de Física Computacional situada en el departamento de Electromagnetismo y Física Materia (planta baja circa de péndulo gigante). La charla será accesible para todos, por lo que se recomienda encarecidamente a los estudiantes de pregrado que se unan. La información, así como un enlace a las notas cubiertas en ambas conferencias, se pueden encontrar aquí <https://ic1.ugr.es/eventos/wp/qjc/>. Nos vemos a todos allí DJM —————————————————————————————————————————————————————————————————————————————— Dear all This Friday we have the second part of our series on Statistical Inference: the part concerning the use of quantum phenomena. As last time, the seminar will be given by Michalis Skotiniotis (title and summary below) at 12:00 in the Computational Physics Laboratory located in the Electromagnetism and Matter Physics department (ground floor around giant pendulum). The talk will be accessible to everyone, so undergraduate students are strongly encouraged to join. The information, as well as a link to the notes covered in both conferences, can be found here <https://ic1.ugr.es/eventos/wp/qjc/>. See you all there DJM. —————————————————————————————————————————————————————————————————————————————— Title: Quantum Statistical Inference—Hypothesis Testing and Parameter Estimation Speaker: Michalis Skotiniotis Abstract: In this second lecture we will revisit the Hypothesis testing and parameter estimation scenarios discussed in the previous lecture, except we shall be invoking quantum theory. In the case of quantum Hypothesis testing I shall review Holevo's optimality theorem which establishes the conditions for achieving the maximum probability of success in a hypothesis testing scenario involving quantum states and measurements. We shall also cast these conditions in terms of semi-definite programs and apply them to obtain the optimal measurement (aka the Helstrom measurement) for the case of binary hypothesis testing. We will then consider quantum parameter estimation, review the quantum version of the Cramér-Rao bound and the Quantum Fisher Information (QFI). These concepts will be applied to the simple case of interferometry where we will encounter the Standard and Heisenberg limits in estimation precision.

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