March 2025 - Qtcg

Publications webpage
by Daniel Manzano 18 Mar '25

18 Mar '25

Dear all, just two reminders. 1.- Please, keep your Zotero folder updated. 2.- Whenever you publish anything email Filipa to include it in the webpage. This includes preprints. 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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Fwd: [qipc.spain] QS Seminar | March 25th @4pm | Richard R. Allen (MIT)
by Daniel Manzano 17 Mar '25

17 Mar '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: "TalentQ" <javier.bouzas.arufe(a)usc.es> > Subject: [qipc.spain] QS Seminar | March 25th @4pm | Richard R. Allen (MIT) > Date: 17. March 2025 at 10:31:51 CET > To: qipc.spain(a)listas.csic.es > Reply-To: "TalentQ" <javier.bouzas.arufe(a)usc.es> > > Speaker: Richard R. Allen | PhD student at MIT > > Title: Quantum Computing Enhanced Sensing > > Abstract: Quantum computing and quantum sensing represent two distinct > frontiers of quantum information science. In this work, we harness quantum > computing to solve a fundamental and practically important sensing problem: > the detection of weak oscillating fields with unknown strength and frequency. > We present a quantum computing enhanced sensing protocol that outperforms all > existing approaches. Furthermore, we prove our approach is optimal by > establishing the Grover-Heisenberg limit — a fundamental lower bound on the > minimum sensing time. The key idea is to robustly digitize the continuous, > analog signal into a discrete operation, which is then integrated into a > quantum algorithm. Our metrological gain originates from quantum computation, > distinguishing our protocol from conventional sensing approaches. Indeed, we > prove that broad classes of protocols based on quantum Fisher information, > finite-lifetime quantum memory, or classical signal processing are strictly > less powerful. Our protocol is compatible with multiple experimental > platforms. We propose and analyze a proof-of-principle experiment using > nitrogen-vacancy centers, where meaningful improvements are achievable using > current technology. This work establishes quantum computation as a powerful > new resource for advancing sensing capabilities. > > Registration: > https://urldefense.com/v3/__https://events.teams.microsoft.com/event/0c8cf2…

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QTCG SEMINAR: Random walk based Graph Representation Learning methods for the analysis of homogeneous and heterogeneous biomedical graphs---Giorgio Valentini (University of Milano, Italy)
by Michalis Skotiniotis 17 Mar '25

17 Mar '25

El grupo de Termodinámica y Computación Cuántica les invita al siguiente seminario Fecha: Jueves 20, Marzo Hora: 10:00 am Lugar: Laboratorio de Fïsica Computacional, Dept de Electromagnetismo y Física de al Materia, Planta Baja, Facultad de Ciencias (junto al péndulo gigante) Ponente: Giorgio Valentini (University of Milano, Italy) Titulo: Random walk based Graph Representation Learning methods for the analysis of homogeneous and heterogeneous biomedical graphs Resumen: 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: Thursday 20, March Time: 10:00 am Location: Computational Physics Laboratory, Department of Electromagnetism and Condensed Mater, Ground Floor, Faculty of Science (next to the giant pendulum) Speaker: Giorgio Valentini (University of Milano, Italy) Title: Random walk based Graph Representation Learning methods for the analysis of homogeneous and heterogeneous biomedical graphs 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 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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Fwd: Carteles Quantum Week
by Daniel Manzano 14 Mar '25

14 Mar '25

Hello, everybody. The Association of Physics Students is organising a “Quantum Week” to celebrate the international year of Quantum Mechanics, and they have organised some activities (see attached documents and forward them to your students if possible). I’d like to highlight these two: Tuesday, March 25th. Inaugural talk by Antonio Acín. Aula Magna 16:00. Friday 28th Mesa redonda with the participation of Pablo and myself. Sala ENIAC del Edificio Mecenas 12. Enjoy them. --------------------------------------------------------------------------------- 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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Drawing Tablets
by Daniel Manzano 14 Mar '25

14 Mar '25

Hello. There are two drawing tablets in my office. If you need one just come and take it. 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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Fwd: Reminder: FTAE seminar today at 11:00
by Daniel Manzano 14 Mar '25

14 Mar '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: FTAE - High Energy Theory <ftae(a)ugr.es> > From: ftae(a)ugr.es > Subject: Reminder: FTAE seminar today at 11:00 > Date: 14. March 2025 at 10:15:02 CET > > Dear all, > > This is a gentle reminder that today at 11:00, Valya Khoze from Durham U., IPPP, will be presenting the following seminar: > > Title: Searching for QCD Instantons at Colliders > > Abstract: I'll present an overview of a full calculation of QCD instanton-induced processes in proton-proton collisions accounting for quantum corrections due to both initial and final state gluon interactions and a basic strategy how to observe these eﬀects experimentally. Any direct experimental observation of instanton-induced processes, which are a consequence of the non-trivial vacuum structure of the Standard Model and of quantum tunnelling in QFT, would of course be a major breakthrough in particle physics. > > See you all there. >

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Fwd: [Materia] Reminder of new SPIN seminar on Neuroscience.
by Daniel Manzano 11 Mar '25

11 Mar '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: Prof. Dr. Joaquín J. Torres <jtorres(a)onsager.ugr.es> > Subject: [Materia] Reminder of new SPIN seminar on Neuroscience. > Date: 11. March 2025 at 11:25:11 CET > To: Materia <materia(a)onsager.ugr.es> > > Dear all > > There was a typo in the previous mail concerning the tomorrow SPIN seminar. Please find below the correct announcement: > > ============================================================================================== > > This is a reminder of the next SPIN seminar on Neuroscience that will take place tomorrow Wednesday Mars 12th. The details of the seminar follow: > > *Date: March Wednesday 12th > > *Place: Seminario del Centro de Instrumentación Científica de la UGR > > *Time: 12:00 > > *Title: *Epidemic spreading dynamics in large-scale brain modeling: clinical applications. > > *Speaker: Dr. Ana Paula Millán ("Ramon y Cajal" Researcher). Institute Carlos I for Theoretical and Computational Physics, U. of Granada > > *Abstract:* Computational models of brain dynamics provide new insights into the prognosis of neurological disorders such as epilepsy or Alzheimer's Disease (AD). The use of abstract models such as epidemic spreading allows for simplified pictures that, by focusing on the behavior of interest, enable interpretability. At the same time, these modelling schemes have often lower data requirements, more in line with the reality of clinical data. I will present recent results regarding the clinical applicability of epidemic spreading models to epilepsy surgery and the propagation of pathological proteins in AD. > In the case of epilepsy, for patients with drug-resistant epilepsy the treatment of choice is epilepsy surgery. However, up to 50% of the patients continue to have seizures one year after the resection. In order to aid presurgical planning and predict postsurgical outcome in a patient-by-patient basis, we developed the ESSES (Epidemic Spreading Seizure and Epilepsy Surgery framework ) framework of individualized computational models. ESSES combines a simple epidemic spreading dynamic -namely the Susceptible-Infected-Recover (SIR) model- to describe seizure propagation, with patient-specific connectivity derived from magnetoencephalography (MEG) and epileptogeneity maps integrating all presurgical information available. We showed in a retrospective study (N = 15) that this simple dynamic is enough to reproduce the main aspects of seizure propagation as recorded via invasive electroencephalography (iEEG) [2,3]. Remarkably , the SIR model parameters that best describe the iEEG seizure patterns correspond to the critical transition between the percolating and absorbing phases [2,3,4], and the similarity between the iEEG and ESSES-modelled seizures predicted surgical outcome (area under the curve AUC = 0.73). We validated the clinical use of ESSES with a blind, independent pseudo-prospective study (N = 34), for which iEEG data (highly invasive and not always part of the presurgical evaluation) was not required. Using ESSES to find optimal resection strategies [1,2], we found that their size was smaller (AUC = 0.65) for patients with good outcome, indicating intrinsic differences in the presurgical data of patients with good and bad outcome [4]. The actual resection also had a larger overlap with the optimal one (AUC = 0.64), and a larger effect decreasing modelled seizure propagation (AUC = 0.78) for patients with good outcome [4]. Overall, ESSES could correctly predict 75% of NSF and 80.8% of SF cases pseudo-prospectively. > Spreading dynamics are also found in the case of AD: the pathological protein τ propagates over the brain associated with the progression of the disease. The mechanisms driving this propagation, and the paths it follows, remain unclear. In a recent cross-sectional study, we made use of epidemic spreading dynamics to investigate which spreading pathways -that is, whether either functional or structural connections, or simply spatial closeness- drive τ propagation [5]. We simulated τ propagation over each type of brain connectivity and compared the simulated τ depositions with 18F-flortaucipir PET binding potentials at several stages of the AD continuum. We found that functional connectivity yield the best predictions of actual τ propagation along the AD continuum. These results suggest that, in addition to > structural connectivity, functional connectivity plays an important role in τ spreading, and highlight that neuronal dynamics play a key role in promoting this pathological process. > These studies showcase the potential of epidemic spreading models in large-scale brain modeling, opening new roads for clinical applications. > *References: *[1] I.A. Nissen et al. Scient. Rep.. 11.1 (2021). [2] A.P. Millán et al. Scient. Rep. 12.1 (2022). [3] A.P. Millán et al. Netw. Neurosci. 1.55 (2022). [4] A.P. Millán et al. Network Neuroscience 8.2 (2024). [5] D. Schoonhoven et al. Brain awad189 (2023). > > Hope to see all of you tomorrow > > Best wishes > > The SPIN (Scientific Presentations In Neuroscience) organizers > > -- > Prof. Dr. Joaquín J. Torres > Department of Electromagnetism > and Physics of the Matter. > Institute "Carlos I" for Theoretical > and Computational Physics. > University of Granada. > www.ugr.es/~jtorres <http://www.ugr.es/~jtorres>_______________________________________________ > Materia mailing list -- materia(a)onsager.ugr.es > To unsubscribe send an email to materia-leave(a)onsager.ugr.es

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Fwd: Reminder of new SPIN seminar on Neuroscience,
by Daniel Manzano 11 Mar '25

11 Mar '25

Tomorrow, our friend Ana Paula is giving the following seminar. --------------------------------------------------------------------------------- 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: Reminder of new SPIN seminar on Neuroscience, > Date: 11. March 2025 at 08:19:54 CET > To: undisclosed-recipients:; > > *Title: *Epidemic spreading dynamics in large-scale brain modeling: clinical applications. > > *Speaker: Dr. Ana Paula Millán ("Ramon y Cajal" Researcher). Institute Carlos I for Theoretical and Computational Physics, U. of Granada > > *Abstract:* Computational models of brain dynamics provide new insights into the prognosis of neurological disorders such as epilepsy or Alzheimer's Disease (AD). The use of abstract models such as epidemic spreading allows for simplified pictures that, by focusing on the behavior of interest, enable interpretability. At the same time, these modelling schemes have often lower data requirements, more in line with the reality of clinical data. I will present recent results regarding the clinical applicability of epidemic spreading models to epilepsy surgery and the propagation of pathological proteins in AD. > In the case of epilepsy, for patients with drug-resistant epilepsy the treatment of choice is epilepsy surgery. However, up to 50% of the patients continue to have seizures one year after the resection. In order to aid presurgical planning and predict postsurgical outcome in a patient-by-patient basis, we developed the ESSES (Epidemic Spreading Seizure and Epilepsy Surgery framework ) framework of individualized computational models. ESSES combines a simple epidemic spreading dynamic -namely the Susceptible-Infected-Recover (SIR) model- to describe seizure propagation, with patient-specific connectivity derived from magnetoencephalography (MEG) and epileptogeneity maps integrating all presurgical information available. We showed in a retrospective study (N = 15) that this simple dynamic is enough to reproduce the main aspects of seizure propagation as recorded via invasive electroencephalography (iEEG) [2,3]. Remarkably , the SIR model parameters that best describe the iEEG seizure patterns correspond to the critical transition between the percolating and absorbing phases [2,3,4], and the similarity between the iEEG and ESSES-modelled seizures predicted surgical outcome (area under the curve AUC = 0.73). We validated the clinical use of ESSES with a blind, independent pseudo-prospective study (N = 34), for which iEEG data (highly invasive and not always part of the presurgical evaluation) was not required. Using ESSES to find optimal resection strategies [1,2], we found that their size was smaller (AUC = 0.65) for patients with good outcome, indicating intrinsic differences in the presurgical data of patients with good and bad outcome [4]. The actual resection also had a larger overlap with the optimal one (AUC = 0.64), and a larger effect decreasing modelled seizure propagation (AUC = 0.78) for patients with good outcome [4]. Overall, ESSES could correctly predict 75% of NSF and 80.8% of SF cases pseudo-prospectively. > Spreading dynamics are also found in the case of AD: the pathological protein τ propagates over the brain associated with the progression of the disease. The mechanisms driving this propagation, and the paths it follows, remain unclear. In a recent cross-sectional study, we made use of epidemic spreading dynamics to investigate which spreading pathways -that is, whether either functional or structural connections, or simply spatial closeness- drive τ propagation [5]. We simulated τ propagation over each type of brain connectivity and compared the simulated τ depositions with 18F-flortaucipir PET binding potentials at several stages of the AD continuum. We found that functional connectivity yield the best predictions of actual τ propagation along the AD continuum. These results suggest that, in addition to > structural connectivity, functional connectivity plays an important role in τ spreading, and highlight that neuronal dynamics play a key role in promoting this pathological process. > These studies showcase the potential of epidemic spreading models in large-scale brain modeling, opening new roads for clinical applications. > *References: *[1] I.A. Nissen et al. Scient. Rep.. 11.1 (2021). [2] A.P. Millán et al. Scient. Rep. 12.1 (2022). [3] A.P. Millán et al. Netw. Neurosci. 1.55 (2022). [4] A.P. Millán et al. Network Neuroscience 8.2 (2024). [5] D. Schoonhoven et al. Brain awad189 (2023). > >

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Jornadas Instituto
by Daniel Manzano 07 Mar '25

07 Mar '25

Hi, everyone. Please fill this form indicating that you'll assist to the IC1’s Jornadas. Lunch is optional but I would recommend you take it as Carmen de la Victoria is a beautiful place. https://ic1.es/index.php/qsm_quiz/jornadas-de-investigacion-2025-del-ic1-ug… 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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Fwd: [qipc.spain] PhD position
by Daniel Manzano 07 Mar '25

07 Mar '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: 7. March 2025 at 06:00:34 CET > To: qipc.spain(a)listas.csic.es > Reply-To: qtep(a)csic.es > > PhD position. Two PhD Positions in Quantum Information and Thermodynamics at UAB at Quantum Information Group (GIQ) at the Autonomous University of Barcelona (UAB) > > Two PhD positions offered within the ATRAE Project: “Taming Dissipation in Open Quantum Systems: Applications in Information Processing”, led by Martí Perarnau-Llobet. The project lies at the interface of quantum stochastic thermodynamics, open quantum systems, and quantum information. Possible topics include: Optimal thermodynamic control, Thermodynamic computing, and Quantum sensing in open systems. > Details on the position and application process at: https://urldefense.com/v3/__https://webs.uab.cat/giq/news/two-phd-positions… > > Web: https://urldefense.com/v3/__https://webs.uab.cat/giq/news/two-phd-positions…

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