- Quthco - Onsager

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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Fwd: [qipc.spain] Calling all early-stage researchers in Quantum Tech in Spain!
by Daniel Manzano 24 Sep '24

24 Sep '24

--------------------------------------------------------------------------------- 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: "PYSQT organization" (via qipc.spain Mailing List) <qipc.spain(a)listas.csic.es> > Subject: [qipc.spain] Calling all early-stage researchers in Quantum Tech in Spain! > Date: 24. September 2024 at 10:36:01 CEST > To: qipc.spain(a)listas.csic.es > Reply-To: PYSQT organization <pysqt.organization(a)gmail.com> > > Hello everyone! > > As you may know, PYSQT is the Ph.D. and Young Scientists in Quantum Technologies Network in Spain. It is an initiative to promote online and in-person activities where early-stage scientists, such as Ph.D. students and young postdocs (first/second year), can meet and discuss their work. The purpose of this email is to remind you of all the ways you can contribute to the development of this network. > > Through this form <https://urldefense.com/v3/__https://t.co/9xwJEK7a4y__;!!D9dNQwwGXtA!QapVNxS…>, you may > > (i) propose seminars about your work or other colleague's research. > > (ii) request the organization of a colloquium on a specific topic. > > (iii) propose new networking events. > > Let's connect and collaborate! > > Best regards, > PYSQT Network

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Lunch on Thursday
by Daniel Manzano 23 Sep '24

23 Sep '24

Dear all, just a reminder that on Thursday we’re planning to go for lunch. Alvaro is looking for a place that fits all dietary requirement for the people of the group. Tell him if you have any allergies or preferences. Best, --------------------------------------------------------------------------------- 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: Paula García-Molina (Instituto de Física Fundamental - CSIC)
by Michalis Skotiniotis 23 Sep '24

23 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. --------------------------------------------------------- Dr. Michalis Skotiniotis Grupo de Termodinámica y Información Cuántica. Departamento de Electromagnetismo y Física de la Materia. Instituto Carlos I de Física Teórica y Computacional. Facultad de Ciencias, Av. Fuentenueva s/n Universidad de Granada Granada, 18071 Spain Email: mskotiniotis(a)onsager.ugr.es ---------------------------------------------------------

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Toni
by Daniel Manzano 23 Sep '24

23 Sep '24

Dear all. Small reminder that Toni is arriving tomorrow. I’ll have meetings from 10 to lunchtime so, please, make him feel welcome. 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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