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SUMMARY:Tomáš Kozubek (Technical University of Ostrava)
DTSTART:20251013T134000Z
DTEND:20251013T151000Z
DTSTAMP:20260405T175235Z
UID:NSCM/186
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/NSCM/186/">F
 rom Scalable AI to Hybrid Quantum: The IT4Innovations Computing Continuum<
 /a>\nby Tomáš Kozubek (Technical University of Ostrava) as part of Neča
 s Seminar on Continuum Mechanics\n\nLecture held in Room K3\,  Faculty of 
 Mathematics and Physics\, Charles University\, Sokolovská 83  Prague 8..\
 n\nAbstract\nThe presentation focuses on the AI- and QC-centred computing 
 continuum at IT4Innovations (IT4I)\, showing how GPU-accelerated HPC\, dat
 a services\, and emerging quantum resources are being integrated to suppor
 t modern AI workflows and near-term quantum experimentation. On the AI sid
 e\, we outline platforms and tools that raise productivity for training an
 d inference at scale (e.g.\, HyperQueue for heterogeneous scheduling\, HEA
 ppE and LEXIS for HPC-as-a-Service and federated workflows) and describe a
 ccess routes that connect Czech users to EuroHPC capacity\, including LUMI
  and forthcoming AI-Factory services. On the QC side\, we detail the VLQ s
 uperconducting quantum computer (24 qubits\, star-shaped topology) and its
  role in hybrid HPC–QC pipelines for optimisation\, small-scale quantum 
 chemistry\, and quantum-enhanced ML\, alongside practical enablers such as
  error-mitigation strategies and classical pre/post-processing on Karolina
  and partner EuroHPC systems. We position these capabilities within e-INFR
 A CZ and the EuroHPC ecosystem\, highlight representative impacts across s
 cience\, industry\, and public administration (from crisis-management anal
 ytics to drug-discovery workflows)\, and sketch next steps: federating AI 
 factories and quantum systems\, operationalising VLQ within EuroHPC access
  schemes\, and commissioning Barbora NG to expand AI-ready throughput. Tog
 ether\, these developments advance a usable path from today’s large-scal
 e AI to tomorrow’s hybrid quantum-accelerated applications.\n
LOCATION:https://researchseminars.org/talk/NSCM/186/
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