September 2024 - Quthco

Group's Logo
by Daniel Manzano 09 Oct '24

09 Oct '24

Dear all. We’re currently working on the group’s webpage and I realised that we need a logo for the group. As we have a bunch of creative people to ask (a.k.a. you) I’ll ask you to make proposals and upload them to this drive: https://drive.google.com/drive/folders/1TCWJcdQhca4pZhxU7vJUU0hPZr6c31R5?us… Juani, Michalis and myself will choose one from the proposals and make it the offical logo of the group. Remember that it may reflect the name of the group (Quantum Thermodynamics and Quantum Computing). I think it would be nice to have it before we go to Tenerife, so I would establish the deadline to make proposals on October 30. At the conference there will give prizes for the winner and all participants!! Best, Dani. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/

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Protocolo para compras
by Juani Bermejo Vega 30 Sep '24

30 Sep '24

Dear all, I think we should make some sort of infogram to visualize what is the right way to book flights/hotel and pay conference fees for all employees of the group. Some simple graph. I am finishing the ICE9 bookings and the rules are just very confusing for different projects and depend on whether you pay with the credit card or by transfer. Please try to be careful booking stuff yourself. It is better to ask one of the PIs or Rocío to do the purchases in order to avoid getting a wrong invoice with the wrong data or we wont get reimbursed. Best, JJ

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Fwd: [InfoiC1] ciclo FRONTERAS DE LA FÍSICA
by Daniel Manzano 26 Sep '24

26 Sep '24

Dear all, the Physics colloquium organised by the Institute is very nice and it is important that we all assist to it. Best, Dani. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/ > Begin forwarded message: > > From: Pablo Hurtado Fernández <phurtado(a)onsager.ugr.es> > Subject: [InfoiC1] ciclo FRONTERAS DE LA FÍSICA > Date: 26. September 2024 at 11:06:02 CEST > To: Información general del iC1 <infoic1(a)onsager.ugr.es> > > Ciclo FRONTERAS DE LA FÍSICA > Organiza: Instituto Carlos I de Física Teórica y Computacional (UGR) > > Título: The large deviation approach to statistical physics > > Ponente: Prof. Hugo Touchette, Department of Mathematical Sciences, Stellenbosch University, South Africa. > > I will give in this talk a basic overview of the theory of large deviations and of its applications in statistical physics. In the first part, I will discuss the basics of this theory and its historical sources, which can be traced back in mathematics to Cramer (1938), Sanov (1960) and Varadhan (1970s) and, on the physics side, to Einstein (1910) and Boltzmann (1877). In the second part, I will discuss how the theory has been applied in recent years to study various equilibrium, nonequilibrium, and complex systems, such as interacting particle systems, turbulent flows, and random graphs, among many other examples. Some of these applications have been studied by researchers in the statistical physics group in Granada. > > Día: Viernes 4 de Octubre de 2024 > Hora: 12:30h > Lugar: aula F-01 > > La conferencia también podrá seguirse ONLINE en el siguiente enlace: https://meet.google.com/jhs-eqvg-tdd > > https://ic1.es/index.php/actividades/fronteras-de-la-fisica/ > > > > > ------------------------------------------------------------ > Pablo I. Hurtado > > Catedrático > Depto. de Electromagnetismo y Física de la Materia > Instituto Carlos I de Física Teórica y Computacional > Universidad de Granada > > Avenida Fuentenueva, 18071 Granada (España) > > Tel: +34 958 241000 - ext 20189 > Email: phurtado(a)onsager.ugr.es <mailto:phurtado@onsager.ugr.es> > Web: http://ic1.ugr.es/phurtado > ------------------------------------------------------------ > > > > > _______________________________________________ > Infoic1 mailing list -- infoic1(a)onsager.ugr.es > To unsubscribe send an email to infoic1-leave(a)onsager.ugr.es

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Reminder of seminar: Pseudospectral method for solving PDEs using Matrix Product States
by Daniel Manzano 26 Sep '24

26 Sep '24

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: Viernes 27/9/2024 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: Paula García-Molina (Instituto de Física Fundamental - CSIC) Titulo: Pseudospectral method for solving PDEs using Matrix Product States (arXiv:2409.02916) Resumen: This research focuses on solving time-dependent partial differential equations (PDEs), in particular the time-dependent Schrödinger equation, using matrix product states (MPS). We propose an extension of Hermite Distributed Approximating Functionals (HDAF) to MPS, a highly accurate pseudospectral method for approximating functions of derivatives. Integrating HDAF into an MPS finite precision algebra, we test four types of quantum-inspired algorithms for time evolution: explicit Runge-Kutta methods, Crank-Nicolson method, explicitly restarted Arnoli iteration and split-step. The benchmark problem is the expansion of a particle in a quantum quench, characterized by a rapid increase in space requirements, where HDAF surpasses traditional finite difference methods in accuracy with a comparable cost. Moreover, the efficient HDAF approximation to the free propagator avoids the need for Fourier transforms in split-step methods, significantly enhancing their performance with an improved balance in cost and accuracy. Both approaches exhibit similar error scaling and run times compared to FFT vector methods; however, MPS offer an exponential advantage in memory, overcoming vector limitations to enable larger discretizations and expansions. Finally, the MPS HDAF split-step method successfully reproduces the physical behavior of a particle expansion in a double-well potential, demonstrating viability for actual research scenarios. 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/csb-snng-bmu 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 ________________________________________________________________________________ Dear all The Quantum Thermodynamics and Computation group cordially invites you to the following seminar Date: Friday 27/9/2024 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: Paula García-Molina (Instituto de Física Fundamental - CSIC) Title: Pseudospectral method for solving PDEs using Matrix Product States (arXiv:2409.02916) Abstract: This research focuses on solving time-dependent partial differential equations (PDEs), in particular the time-dependent Schrödinger equation, using matrix product states (MPS). We propose an extension of Hermite Distributed Approximating Functionals (HDAF) to MPS, a highly accurate pseudospectral method for approximating functions of derivatives. Integrating HDAF into an MPS finite precision algebra, we test four types of quantum-inspired algorithms for time evolution: explicit Runge-Kutta methods, Crank-Nicolson method, explicitly restarted Arnoli iteration and split-step. The benchmark problem is the expansion of a particle in a quantum quench, characterized by a rapid increase in space requirements, where HDAF surpasses traditional finite difference methods in accuracy with a comparable cost. Moreover, the efficient HDAF approximation to the free propagator avoids the need for Fourier transforms in split-step methods, significantly enhancing their performance with an improved balance in cost and accuracy. Both approaches exhibit similar error scaling and run times compared to FFT vector methods; however, MPS offer an exponential advantage in memory, overcoming vector limitations to enable larger discretizations and expansions. Finally, the MPS HDAF split-step method successfully reproduces the physical behavior of a particle expansion in a double-well potential, demonstrating viability for actual research scenarios. 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/csb-snng-bmu 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. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/

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Erratum. Seminar today!! Entanglement detection using Quantum Support Vector Machines
by Daniel Manzano 26 Sep '24

26 Sep '24

Reminder: The Quantum Thermodynamics and Quantum Computation Group invites you to assist to this talk. Date: Thursday 26/9/2024 Time: 11:00 am Place: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Speaker: Ana Martínez. University of Granada. Title: Entanglement detection using Quantum Support Vector Machines Abstract: The quantum separability problem addresses the detection of quantum entanglement, a fundamental feature of quantum mechanics, meaning that we want to determine if a certain quantum state is entangled or separable. This problem has been shown to be NP-hard (1). Our starting point will be the works from Refs (2) and (3), in which the problem is taken as a binary classification task that is approached with classical machine learning models. In this work, we propose the application of quantum machine learning, in particular quantum support vector machines (QSVM), to the quantum separability problem. By studying and optimizing various encoding circuits, the quantum SVM shows comparable discrimination power to other traditional classical kernels. (1) Gurvits L. Classical deterministic complexity of Edmonds’Problem and quantum entanglement (2) Casalé B, Di Molfetta G, Anthoine S, Kadri H. Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens. (3) Ureña J, Sojo A, Bermejo J, Manzano D. Entanglement detection with classical deep neural networks. 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/csb-snng-bmu 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. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/

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Group Meetings
by Daniel Manzano 26 Sep '24

26 Sep '24

Dear all. This semester the week meetings will be on Monday 10am. As the group has growth we’ll do it at the seminar room. We have decided that every week at least one postdoc/PhD/visitor/master-student should make a very brief presentation about how their work is going. This is a nice way to be caught up about how you’re doing. Remember that tomorrow we have a talk at 12 by Hugo Touchette. Best, Dani. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/

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Reminder: Entanglement detection using Quantum Support Vector Machines
by Daniel Manzano 26 Sep '24

26 Sep '24

Reminder: The Quantum Thermodynamics and Quantum Computation Group invites you to assist to this talk. Date: Thursday 27/9/2024 Time: 11:00 am Place: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Speaker: Ana Martínez. University of Granada. Title: Entanglement detection using Quantum Support Vector Machines Abstract: The quantum separability problem addresses the detection of quantum entanglement, a fundamental feature of quantum mechanics, meaning that we want to determine if a certain quantum state is entangled or separable. This problem has been shown to be NP-hard (1). Our starting point will be the works from Refs (2) and (3), in which the problem is taken as a binary classification task that is approached with classical machine learning models. In this work, we propose the application of quantum machine learning, in particular quantum support vector machines (QSVM), to the quantum separability problem. By studying and optimizing various encoding circuits, the quantum SVM shows comparable discrimination power to other traditional classical kernels. (1) Gurvits L. Classical deterministic complexity of Edmonds’Problem and quantum entanglement (2) Casalé B, Di Molfetta G, Anthoine S, Kadri H. Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens. (3) Ureña J, Sojo A, Bermejo J, Manzano D. Entanglement detection with classical deep neural networks. 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/csb-snng-bmu 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. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/

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Seminar: Entanglement detection using Quantum Support Vector Machines
by Daniel Manzano 24 Sep '24

24 Sep '24

The Quantum Thermodynamics and Quantum Computation Group invites you to assist to this talk. Date: Thursday 27/9/2024 Time: 11:00 am Place: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Speaker: Ana Martínez. University of Granada. Title: Entanglement detection using Quantum Support Vector Machines Abstract: The quantum separability problem addresses the detection of quantum entanglement, a fundamental feature of quantum mechanics, meaning that we want to determine if a certain quantum state is entangled or separable. This problem has been shown to be NP-hard (1). Our starting point will be the works from Refs (2) and (3), in which the problem is taken as a binary classification task that is approached with classical machine learning models. In this work, we propose the application of quantum machine learning, in particular quantum support vector machines (QSVM), to the quantum separability problem. By studying and optimizing various encoding circuits, the quantum SVM shows comparable discrimination power to other traditional classical kernels. (1) Gurvits L. Classical deterministic complexity of Edmonds’Problem and quantum entanglement (2) Casalé B, Di Molfetta G, Anthoine S, Kadri H. Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens. (3) Ureña J, Sojo A, Bermejo J, Manzano D. Entanglement detection with classical deep neural networks. 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/csb-snng-bmu 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. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/

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Emails
by Juani Bermejo Vega 24 Sep '24

24 Sep '24

Dear all, Could you please let me know which email are you using for work at the moment? It would be good if you stick to one for management & communication with Rocío. Also for the seminars and journal clubs :) Please forward this to your collaborators, students, etc. Remember that it is good to activate the go.ugr.es accounts for G Calendar and G Drive. Also the UGR Microsoft account to have access to Microsoft Office. Best, Juani

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Fwd: Fotos del nuevo espacio compartido de la tercera planta.
by Daniel Manzano 24 Sep '24

24 Sep '24

Sent from my iPhone Begin forwarded message: > From: Francisco de los Santos <dlsantos(a)onsager.ugr.es> > Date: 24 September 2024 at 11:29:33 CEST > To: mamunoz(a)onsager.ugr.es, "Dr. Joaquín J. Torres" <jtorres(a)onsager.ugr.es>, ailopez(a)ugr.es, Carlos Perez Espigares <cpespigares(a)onsager.ugr.es>, Pablo Hurtado <phurtado(a)ugr.es>, Juan Bermejo Vega <jbermejovega(a)ugr.es>, Daniel Manzano <manzano(a)onsager.ugr.es>, "Pedro L. Garrido" <garrido(a)onsager.ugr.es>, fdlsant(a)ugr.es, apmillan(a)ugr.es, serena(a)onsager.ugr.es, mskotiniotis(a)onsager.ugr.es, atejero(a)onsager.ugr.es > Subject: Fotos del nuevo espacio compartido de la tercera planta. > > > > > >

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