April 2025 - Qtcg

Fwd: [qipc.spain] Premio GEITC a la Mejor Tesis Doctoral en Información y Tecnologías Cuánticas - 2024
by Juani Bermejo Vega 30 Apr '25

30 Apr '25

Ha salido la segunda convocatoria de premios de tesis en información, computación y tecnologías cuánticas. Es una convocatoria que lleva poco tiempo. La han montado investigadores reconocidos del área del Grupo Especializado de Información y Tecnologías Cuánticas de la RSEF. Si conocéis a gente que haya defendido la tesis entre el 1 de enero de 2024 y el 31 de diciembre de 2024 mandádsela, por favor, es un buen reconocimiento. :) ---------- Forwarded message --------- De: Diego Porras Torre <diego.porras.torre(a)gmail.com> Date: mié, 30 abr 2025 a las 15:43 Subject: [qipc.spain] Premio GEITC a la Mejor Tesis Doctoral en Información y Tecnologías Cuánticas - 2024 To: <qipc.spain(a)listas.csic.es> Estimados colegas, El Grupo Especializado de Información y Tecnologías Cuánticas de la RSEF se complace en convocar el II Premio GEITC a la mejor tesis doctoral en información y tecnologías cuánticas. Serán elegibles aquellas tesis defendidas en España durante 2024 en una temática teórica o experimental, dentro del campo de la información o las tecnologías cuánticas. Las solicitudes y su documentación asociada deberán enviarse antes del 31 de mayo de 2025. Podéis encontrar las bases completas de esta convocatoria en el documento adjunto. Para cualquier consulta, por favor, dirigíos a la dirección premio.tesis.geitc(a)gmail.com <premios.tesis.geitc(a)gmail.com>. Un saludo El equipo directivo del GEITC: Alba Cervera Lierta, Alex Pozas Kerstjens, Juan José García Ripoll, Miguel Ángel García Mach y Diego Porras.

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Fwd: [qipc.spain] Fwd: [Quantum_Spain] Difusión | Evento “Presentación de los Recursos Cuánticos de Acceso Público de la RES”
by Daniel Manzano 30 Apr '25

30 Apr '25

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Fwd: SPIN seminar announcement
by Daniel Manzano 24 Apr '25

24 Apr '25

--------------------------------------------------------------------------------- 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: spin <spin(a)onsager.ugr.es> > Subject: SPIN seminar announcement > Date: 22. April 2025 at 13:27:33 CEST > To: undisclosed-recipients:; > > Dear all > > It is a pleasure to announce the new "SPIN" seminar on Neuroscience: > > *Date: Friday April 25th > > *Place: Seminario del Centro de Instrumentación Científica de la UGR > > *Time: 10:00 > > *Title: Neuroimagen y Espectro Autista: Avances en Conectividad Funcional > > > *Speaker: > > Dr. Jesús M. Cortés, Profesor Catedrático en Ikerbasque y responsable del Laboratorio de Neuroimagen Computacional en el Instituto de Investigación Sanitaria BioBizkaia, destaca por su labor interdisciplinar en el campo de las neurociencias, combinando conectividad cerebral, neuroimagen, y técnicas avanzadas de machine learning e Inteligencia Artificial. Bajo su liderazgo, el laboratorio ha sido reconocido por su excelencia investigadora, reflejada en la obtención de la mención de Consolidado de Excelencia por el Instituto de Salud Carlos III y su posterior renovación. Desde la creación del laboratorio en 2012, ha conseguido financiación que excede los 8,10 millones de EUR y ha liderado 13 de los 35 proyectos de investigación en los que ha participado. Ha publicado 115 artículos científicos, de los cuales el 90% se han ubicado en el primer cuartil del Journal Citation Reports (JCR Q1). > El Profesor Cortés ha supervisado a más de 30 estudiantes de posgrado y ha impartido 102 conferencias internacionales. Su compromiso con la excelencia y el desarrollo profesional se extiende de forma internacional, con estancias docentes en 24 universidades de seis países diferentes. Reconocido por su excelencia académica y su enfoque interdisciplinario, el Profesor Cortés ha sido galardonado con distinciones como el Premio Extraordinario de Doctorado y ha sido nombrado Fulbright Fellow, EPSRC Fellow y Investigador Ramón y Cajal, y ha desempeñado un papel crucial como evaluador en paneles de financiación científica a nivel nacional e internacional. Su reciente colaboración con la plataforma de estimulación cognitiva NeuronUP ha permitido el desarrollo de modelos analíticos pioneros, con miras a personalizar y optimizar las intervenciones neurocognitivas. > > *Abstract: > > En esta charla abordaremos los avances recientes en el estudio de la conectividad cerebral en el espectro autista mediante técnicas de neuroimagen multimodal. Presentaremos conceptos fundamentales de conectividad estructural y funcional cerebral, analizando su relación en individuos sanos y su evolución a lo largo de la edad. Discutiremos cómo la edad cerebral basada en conectividad puede ofrecer nuevas perspectivas sobre el desarrollo neurobiológico en niños y adolescentes con autismo, revelando trayectorias atípicas de maduración cerebral. Asimismo, exploraremos enfoques recientes de subtipado en el espectro autista basados en patrones de conectividad funcional, identificando subgrupos caracterizados por hiper e hipoconectividad cerebral, y su vínculo con mecanismos neurobiológicos como el desequilibrio entre excitación e inhibición. Finalmente, destacaremos la importancia de la conectividad cerebral como biomarcador potencial para mejorar la comprensión y caracterización del autismo. > > The SPIN Organizers >

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Fwd: QLOC seminar: Wed 23 Apr 14.00 – Daphne Wang
by Filipa Cavaco Peres 23 Apr '25

23 Apr '25

For the interested in photonic stuff and/or neural networks: Photonic-native convolutional neural networks. Filipa > Begin forwarded message: > > From: Filipa Cavaco Peres <filipa.cavaco.peres(a)gmail.com> > Subject: Fwd: QLOC seminar: Wed 23 Apr 14.00 – Daphne Wang > Date: 23 April 2025 at 11:50:55 GMT+1 > To: fcrperes(a)onsager.ugr.es > > ---------- Forwarded message --------- > De: Rui Soares Barbosa <rui.soaresbarbosa(a)inl.int <mailto:rui.soaresbarbosa@inl.int>> > Date: quarta, 23/04/2025 à(s) 10:15 > Subject: Re: QLOC seminar: Wed 23 Apr 14.00 – Daphne Wang > To: > > > Quick reminder of Daphne’s talk this afternoon. > > > >> On 21 Apr 2025, at 14:46, Rui Soares Barbosa <rui.soaresbarbosa(a)inl.int <mailto:rui.soaresbarbosa@inl.int>> wrote: >> >> Hi all, >> >> The next QLOC seminar <https://urldefense.com/v3/__https://www.ruisoaresbarbosa.com/qlocseminar__;…> will be on Wednesday 23rd April at 14.00, lasting up to 90 minutes as usual. >> >> We welcome Daphne Wang <https://urldefense.com/v3/__https://wangdaphne.github.io/__;!!D9dNQwwGXtA!Q…> from Paris-based photonic quantum computing company Quandela, who is visiting this week. She will tell us about photonic-native convolutional neural networks [see details below]. >> >> The meeting will be in hybrid format: we’ll meet in person in the Vision Room at INL, but it’s also possible to join online via Zoom. >> >> See you there! >> rui >> >> If you would like to attend in person but do not have an INL access card, please let me know by 11am on Wednesday so that I can register you as a daily visitor. >> >> ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– >> >> Time: Wednesday, 23rd April 2025 14:00 (WEST) >> Location: Vision Room >> Zoom link: https://videoconf-colibri.zoom.us/j/93696244899?pwd=k8ujNzu2UjaSPxI2z8kbctP… <https://urldefense.com/v3/__https://videoconf-colibri.zoom.us/j/93696244899…> >> >> Speaker: Daphne Wang <https://urldefense.com/v3/__https://wangdaphne.github.io/__;!!D9dNQwwGXtA!Q…> (Quandela) >> >> Title: Photonic-native convolutional neural networks >> >> Abstract >> >> Classical convolutional neural networks have revolutionized the field of machine learning, especially when dealing with images. The key to their success is their inductive bias: their structure mimics the image processing mechanism inside the brain. In the field of quantum machine learning, analogues of such models have been investigated [1,2], each with their pros and cons. In this work, we consider a photonic-native convolutional neural network similar to the one of [2] consisting of passive linear optical circuits and simple adaptative measurements. We then benchmark the performance and resource requirements of our photonic models against their classical counterparts. >> >> [1] Iris Cong, Soonwon Choi, and Mikhail D. Lukin. "Quantum convolutional neural networks." Nature Physics 15: 1273–1278 (2019) <https://urldefense.com/v3/__https://doi.org/10.1038/s41567-019-0648-8__;!!D…>. >> [2] Léo Monbroussou et al. "Subspace preserving quantum convolutional neural network architectures." Quantum Science and Technology 10: 025050 (2024) <https://urldefense.com/v3/__https://doi.org/10.1088/2058-9565/adbf43__;!!D9…>. >> >> ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– >> >> Note. Information about this and other upcoming meetings (including slides for past talks) can be found at https://www.ruisoaresbarbosa.com/qlocseminar <https://urldefense.com/v3/__https://www.ruisoaresbarbosa.com/qlocseminar__;…> >> >> Note. Please let me know if you would like to stop receiving these announcements. >> >> ––––––––––––––– >> >> rui soares barbosa (he/him) >> >> https://www.ruisoaresbarbosa.com/ <https://urldefense.com/v3/__https://www.ruisoaresbarbosa.com/__;!!D9dNQwwGX…>

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Quantum machine learning advantages beyond hardness of evaluation
by Daniel Manzano 23 Apr '25

23 Apr '25

Interesting paper on today’s arxiv. ------------------------------------------------------------------------------ \\ arXiv:2504.15964 Date: Tue, 22 Apr 2025 15:04:46 GMT (290kb,D) Title: Quantum machine learning advantages beyond hardness of evaluation Authors: Riccardo Molteni, Simon C. Marshall, Vedran Dunjko Categories: quant-ph Comments: Abstract in the mailings abridged due to characters limit. Please refer to the paper for the full abstract \\ The most general examples of quantum learning advantages involve data labeled by cryptographic or intrinsically quantum functions, where classical learners are limited by the infeasibility of evaluating the labeling functions using polynomial-sized classical circuits. While broad in scope, such results reveal little about advantages arising from the learning process itself. In cryptographic settings, further insight is possible via random-generatability - the ability to classically generate labeled data - enabling hardness proofs for identification tasks, where the goal is to identify the labeling function from a dataset, even when evaluation is classically intractable. These tasks are particularly relevant in quantum contexts, including Hamiltonian learning and identifying physically meaningful order parameters. However, for quantum functions, random-generatability is conjectured not to hold, leaving no known identification advantages in genuinely quantum regimes. In this work, we give the first proofs of quantum identification learning advantages under standard complexity assumptions. We confirm that quantum-hard functions are not random-generatable unless BQP is contained in the second level of the polynomial hierarchy, ruling out cryptographic-style data generation strategies. We then introduce a new approach: we show that verifiable identification - solving the identification task for valid datasets while rejecting invalid ones - is classically hard for quantum labeling functions unless BQP is in the polynomial hierarchy. Finally, we show that, for a broad class of tasks, solving the identification problem implies verifiable identification in the polynomial hierarchy. This yields our main result: a natural class of quantum identification tasks solvable by quantum learners but hard for classical learners unless BQP is in the polynomial hierarchy. \\ ( https://urldefense.com/v3/__https://arxiv.org/abs/2504.15964__;!!D9dNQwwGXt… , 290kb) ——————————————————————————————————————— --------------------------------------------------------------------------------- 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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Q-lloquium. El principio de incertidumbre: Un viaje a la teoría de las Medidas Cuánticas
by Daniel Manzano 22 Apr '25

22 Apr '25

Desde el grupo de Termodinámica y Computación Cuántica de la UGR les invitamos al siguiente coloquio, que forma parte de las actividades conmemorativas del Año Internacional de la Física Cuántica. El coloquio tiene un nivel accesible para estudiantes de grado. Titulo: El principio de incertidumbre: Un viaje a la teoría de las Medidas Cuánticas Ponente: Dr. Michalis Skotiniotis (QTCG) Resumen: La famosa relación de incertidumbre de Heisenberg, planteada hace casi un siglo, marcó un cambio radical en la forma en que abordamos el proceso de medición. Este Q-lloquium explorará el desarrollo del principio de incertidumbre durante el último siglo, desde la formulación original de Heisenberg hasta sus aplicaciones modernas en la teoría de mediciones cuánticas ultraprecisas. Fecha y hora: Viernes 25 de Abril, 12:00 Lugar: Aula F01. Facultad de Ciencias. Atentamente, --------------------------------------------------------------------------------- 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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Fwd: [qipc.spain] PhD position
by Daniel Manzano 21 Apr '25

21 Apr '25

--------------------------------------------------------------------------------- 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: qtep(a)csic.es > Subject: [qipc.spain] PhD position > Date: 21. April 2025 at 15:13:30 CEST > To: qipc.spain(a)listas.csic.es > Reply-To: qtep(a)csic.es > > PhD position. Nonlinear Quantum Dynamics in Driven-Dissipative Systems (Theory) at Condensed Matter Physics Center (IFIMAC) > > As part of the incoming Ramón y Cajal program, Javier del Pino will be joining the Condensed Matter Physics Center (IFIMAC) at Universidad Autónoma de Madrid to initiate a new research line on nonlinear quantum dynamics in driven-dissipative systems. > > A fully funded PhD position is available starting in fall 2025 (flexible start). The project lies at the interface of quantum optics, condensed matter, and nonequilibrium physics, combining analytical and computational methods. > > Looking for a motivated student with a solid background in quantum physics and a strong interest in theory and programming. > > Full details + application procedure: https://urldefense.com/v3/__https://jdelpino.github.io/openings/__;!!D9dNQw… > > Web: https://urldefense.com/v3/__https://jdelpino.github.io/openings/__;!!D9dNQw…

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Fwd: [InfoiC1] CATMIN IV corrección de fechas:
by Daniel Manzano 21 Apr '25

21 Apr '25

--------------------------------------------------------------------------------- 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: Rosario Gonzalez-Ferez <rogonzal(a)ugr.es> > Subject: [InfoiC1] CATMIN IV corrección de fechas: > Date: 21. April 2025 at 08:55:57 CEST > To: infoic1(a)onsager.ugr.es > > Buenos días, > > Disculpad la duplicidad de mails, en el anterior las fechas estaban mal. > > Saludos > Rosario > > Dear Colleagues, > > This is a reminder for registration and abstract submission for the fourth edition of the Cold Atom Molecule Interactions – CATMIN conference, which will take place in Granada (Spain) from May 20th to 23rd 2025. > > Important dates: > Abstract submission for poster presentation: April 25h > Early bird registration: April 30th > Registration closes: April 30th > > We have a limited amount of support for PhD students, please contact us at catmin(a)ugr.es <mailto:catmin@ugr.es> > > The conference will bring together international experts on Rydberg physics and cold ions, from quantum sensing, quantum computing and simulation to precision spectroscopy and cold chemistry. > > Invited speakers: > C. Stuart Adams > Jaewook Ahn > Antoine Browaeys > Doerte Blume > Michel Brune > Harald Kübler > Stephen Hogan > Igor Lesanovsky > Frédéric Merkt > Giovanna Morigi > Tracy E. Northup > Thomas Pohl > Guido Pupillo > Steven L. Rolston > Hossein Sadeghpour > Mark Saffman > Peter Schmelcher > Johannes Zeiher > > For more detailed information, please check: https://eventos.ugr.es/catmin/ > > We hope that you will attend this event and contribute to the success of the meeting. > > Looking forward to welcoming you in Granada! > > With our best wishes, > > Jim, Luis and Rosario > > Rosario González-Férez (Universidad de Granada, Granada, Spain) > Luis Marcassa (University of São Paulo, São Paulo, Brazil) > James Shaffer (Quantum Valley Ideas Laboratories, Waterloo, Canada) > _______________________________________________ > Infoic1 mailing list -- infoic1(a)onsager.ugr.es > To unsubscribe send an email to infoic1-leave(a)onsager.ugr.es

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Fwd: [qipc.spain] Fwd: PhD position in lattice quantum electrodynamics in Lille - France
by Daniel Manzano 18 Apr '25

18 Apr '25

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Fwd: [qipc.spain] TalentQ Seminar | Marting Ringbauer | Apr. 22nd @4pm
by Daniel Manzano 14 Apr '25

14 Apr '25

Sent from my iPhone Begin forwarded message: > From: TalentQ <javier.bouzas.arufe(a)usc.es> > Date: 14 April 2025 at 10:42:18 CEST > To: qipc.spain(a)listas.csic.es > Subject: [qipc.spain] TalentQ Seminar | Marting Ringbauer | Apr. 22nd @4pm > Reply-To: TalentQ <javier.bouzas.arufe(a)usc.es> > > Speaker: Marting Ringbauer, Assistant Professor at University of Innsbruck > > Title: Towards Quantum Simulation with Trapped-Ion qudits > > Abstract: Today’s quantum computers almost exclusively follow the binary > paradigm of their classical predecessor. Yet, the applications for such > devices, most notably the simulation of physics and chemistry, often do not > fit this paradigm. Natural systems come in a variety of spin dimensions and > rarely have just two possible states. Quantum processors that natively support > multi-level, qudit, operation give us a new tool for addressing the challenge > of simulating nature efficiently. I will discuss qudit quantum computing with > trapped ions at the example of first quantum simulations with relevance to > high-energy physics. > > Registration: > https://urldefense.com/v3/__https://events.teams.microsoft.com/event/20130c…

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