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DTSTAMP:20260731T133316Z
LOCATION:Bldg. 8 - B 102
DTSTART;TZID=Europe/Stockholm:20260701T113000
DTEND;TZID=Europe/Stockholm:20260701T115200
UID:submissions.pasc-conference.org_PASC26_sess185_msa273@linklings.com
SUMMARY:A New Era of Computing: Hybrid AI–Quantum Algorithms in Quantum-Ce
 ntric Supercomputing
DESCRIPTION:Teodoro Laino (IBM Research Europe)\n\nWe present a quantum-ce
 ntric perspective on the emerging convergence of high-performance computin
 g (HPC) and quantum computing, emphasizing algorithmic advances that enabl
 e practical scientific applications in the near term. Central to this para
 digm is quantum-centric supercomputing (QCSC), a hybrid architecture that 
 tightly integrates classical resources (CPUs/GPUs) with quantum processing
  units (QPUs) to execute workflows that are intractable for either paradig
 m alone. We introduce a class of hybrid algorithms, including sample-based
  quantum diagonalization (SQD) and its randomized Krylov extensions, which
  leverage quantum sampling to construct physically relevant subspaces for 
 efficient ground-state estimation of many-body systems. These methods demo
 nstrate scalability and robustness for quantum chemistry applications, inc
 luding molecular energy estimation, biomolecular modeling, and drug design
 . This work argues that sustained progress toward quantum advantage will b
 e driven by co-design of algorithms, hardware, and hybrid workflows within
  quantum-centric HPC environments.\n\nSession Chair: Prashanth Kanduri (ET
 H Zurich / CSCS)\n\n
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