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Aleida Rosquete-Estevez (Galicia Supercomputing Center (CESGA))28/10/2026, 11:30Design and implementation of Digital TwinsPresentation (15' + 5' for questions)
Global models and reanalysis products do not resolve small-scale details due to their coarse resolution. This is particularly relevant in regions where orography strongly determines atmospheric circulation. Dynamical downscaling with regional models such as WRF (Weather Research and Forecasting) can be a suitable solution for these cases, but this approach demands high computational cost and...
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Sofía González-Pérez (Centro Oceanográfico de A Coruña (IEO-CSIC))28/10/2026, 11:50Design and implementation of Digital TwinsPresentation (15' + 5' for questions)
Recruitment variability and population connectivity are central to the assessment and management of fish stocks, yet the environmental variability effect on the eggs and larvae dispersion and survival remains largely unresolved as it is not directly observable. In this contribution, we present our recent developments towards a Digital Twin of the Ocean (DTO) targeting the simulation of Early...
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Sebastián Fernández García28/10/2026, 12:10Design and implementation of Digital TwinsPresentation (15' + 5' for questions)
Gran Telescopio Canarias (GTC), the largest optical and infrared telescope in operation, is a complex cyber-physical infrastructure where a segmented 10.4 m mirror, cryogenic instruments, a moving enclosure and thousands of sensors must work together every night. A night lost to a fault is science that never comes back, and nineteen years of operation have left a vast record of incidents, logs...
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Dr Alberto Azevedo (Laboratório Nacional de Engenharia Civil)28/10/2026, 12:30Development of innovative software and servicesPresentation (15' + 5' for questions)
Coastal and port managers need accurate and reliable predictions to decide when to restrict navigation or leisure activities, close a terminal or reinforce mooring arrangements, and to plan adaptation options against foreseen future conditions, e.g., sea-level rise. Predictions normally require modelling, software engineering and distributed computing skills working together. OPENHIDRA...
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Dr Domingos Barbosa (High Performance Computing Chair, University of Évora, Portuga)28/10/2026, 12:50R&D for computing services, networking, and data-driven scienceLightning Talk (8' + 2' for questions)
The SKA Observatory (SKAO) is approaching first science delivery after processing massive data volumes from radio telescopes located in South Africa and Australia. To respond to this challenge, a distributed architecture of data centres - the SKA Regional Centre Network (SRCNet) - will provide scientific communities worldwide a science and computational services with efficient computational...
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Guillermo Díaz Camacho (CESGA)28/10/2026, 14:00Quantum ComputingPresentation (15' + 5' for questions)
Quantum processors - which are incresingly being installed in supercomputing centres across Europe - are commonly built with their own vendor-specific toolchain: workable for one machine, not a basis for a centre operating several, and even less for a network of centres. The Quantum Device Management Interface (QDMI), the device-facing layer of the Munich Quantum Software Stack (MQSS),...
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Dr Ignacio M. Llorente28/10/2026, 14:20Datacenter and digital infrastructures development and status reportingSpecial Topic Presentation (25' + 5' for questions)
HPC centers are evolving rapidly. In addition to traditional simulation workloads, they are now expected to support AI training and inference, interactive research environments, and increasingly data-intensive scientific workflows.
This keynote looks at how the AI Factory model is reshaping the way these infrastructures are designed and operated. Slurm, Kubernetes, virtual machines, bare...
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Diego Beltrán Fernández Prada (Innovation Department, Bahía Software S.L.U.)28/10/2026, 14:40Quantum ComputingPresentation (15' + 5' for questions)
The Q-STARS project brings together companies and research institutions to advance the application of quantum technologies to complex problems in health, energy and industry. Within this consortium, our work centers on two closely related lines of activity, one focused on building the technical infrastructure the project relies on, and the other on applying quantum machine learning to a...
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Jorge Vázquez-Pérez28/10/2026, 15:00Quantum ComputingPresentation (15' + 5' for questions)
CUNQA: a Distributed Quantum Computing emulator for HPC
Two trends are shaping the future of quantum computing. On the one hand, hardware roadmaps point to distributed quantum computing (DQC), in which several quantum processing units (QPUs) are linked to act as a larger machine. Meanwhile, on the other hand, HPC centers are moving towards integrating QPUs as accelerators alongside GPUs...
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MARIAMO MUSSA JUANE (CESGA)28/10/2026, 15:20Quantum ComputingLightning Talk (8' + 2' for questions)
Molecular docking is a computational technique for predicting the binding of a small molecule to a protein. Here, we tackle molecular docking through quantum computing. To do so, we must define metrics for its resolution. We present a formulation to identify the best ligand orientation and conformation within a protein binding site as a multi-objective optimisation problem. Therefore, we want...
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Irais Bautista (IGFAE-USC)28/10/2026, 16:00Quantum ComputingPresentation (15' + 5' for questions)
High-activity proton–proton collisions exhibit complex event topologies and correlation patterns that may provide information about collective phenomena and the emergence of medium-like behaviour in small collision systems. Identifying suitable observables, however, generally requires the manual construction and exploration of many possible spatial, event-shape and multiparticle...
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José Daniel Viqueira Cao (Galicia Supercomputing Center)28/10/2026, 16:20Quantum ComputingPresentation (15' + 5' for questions)
Variational Quantum Recurrent Neural Networks (QRNNs) offer a promising approach to time series forecasting on quantum hardware. However, despite encouraging simulation results, physical deployment faces three critical challenges: trainability issues caused by barren plateaus and hardware noise; high execution overhead when computing analytical gradients via parameter-shift rules; and...
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Francisco Javier Cardama Santiago (Universidade de Santiago de Compostela)28/10/2026, 16:40Quantum ComputingPresentation (15' + 5' for questions)
Distributed quantum computing (DQC) is emerging as a practical route to scale quantum workloads beyond the qubit counts of individual devices, and its natural deployment target is the HPC centre, where quantum processing units are increasingly integrated alongside classical resources. However, the DQC software landscape remains fragmented: each network simulator, emulator and hardware stack...
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Guillermo Díaz Camacho (CESGA)28/10/2026, 17:00Quantum ComputingPresentation (15' + 5' for questions)
Distributed quantum computing (DQC) partitions a circuit across interconnected QPUs that exchange entanglement rather than qubits: a promising answer to the scalability limits of monolithic processors, and a natural fit to the multi-node model HPC centres already run. Physical testbeds remain scarce, so emulation is where protocols, partitioning strategies and communication costs are studied,...
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Marta Rilo Martínez28/10/2026, 17:20Development of innovative software and servicesPresentation (15' + 5' for questions)
PyCOMPSs, the Python version of COMPSs (BSC), recognized only classical processors for tasks, with no direct support for Quantum Processing Units (QPUs), which only had an experimental implementation via the Qdislib approach. To overcome this limitation, PyCOMPSs was modified to support QPUs as an additional processor type, alongside the already supported CPUs and GPUs. Using this extension,...
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