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DTSTART;TZID=America/Denver:20231114T163000
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UID:submissions.supercomputing.org_SC23_sess250_exforum120@linklings.com
SUMMARY:Defining the Quantum Accelerated Supercomputer
DESCRIPTION:Alex McCaskey (NVIDIA Corporation)\n\nSupercomputing architect
 ures based on GPU acceleration have greatly improved our scientific comput
 ing workflows and applications over the past decade. Quantum computing has
  recently been proposed as a potential addition to this heterogeneous comp
 ute architecture, serving as another node-level accelerator to continue pr
 oblem scalability in domains such as quantum many-body physics and artific
 ial intelligence. As stand-alone quantum processing units (QPUs) continue 
 to evolve and improve, the applied computational science community is left
  to wonder - how do we build, program, and deploy large-scale quantum-clas
 sical heterogeneous architectures that incorporate both GPUs and QPUs? In 
 this talk, we will demonstrate how NVIDIA is leveraging its current suite 
 of multi-GPU platforms to define and deploy the NVIDIA quantum platform. W
 e will highlight three components specifically that together constitute th
 is quantum platform: (1) the cuQuantum multi-GPU quantum computer simulati
 on libraries, (2) the CUDA Quantum programming model and compilation platf
 orm, and (3) the DGX Quantum tightly-coupled quantum-classical compute nod
 e. This talk will present the NVIDIA vision for quantum computing and how 
 it fits into existing heterogeneous computing, how we are accelerating qua
 ntum algorithms research and development today with NVIDIA GPU platforms, 
 and our vision for GPU-accelerated error correction and fault-tolerance.\n
 \nTag: Exascale, Programming Frameworks and System Software, Quantum Compu
 ting\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\
 nSession Chair: Ivanna Park (Internet2)\n\n
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