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UID:f6feb906-c4cc-4539-bc01-ee45577e9437@support.access-ci.org
DTSTAMP:20240328T155342Z
DTSTART:20240419T170000Z
DTEND:20240419T180000Z
SUMMARY:A Hands-On Introduction to Quantum Computing with NVIDIA’s CUDA Q
 uantum
DESCRIPTION:The Pittsburgh Supercomputing Center (PSC) invites you to their
  next installment in the Bridges-2 Webinar series that will feature a hand
 s-on introduction to quantum computing using NVIDIA’s CUDA Quantum.Speak
 er: Dr. Pooja Rao, NVIDIAAbstract: Quantum computing leverages the quantu
 m aspects of the physical world to introduce novel methods of information 
 processing. These methods can be combined with classical high-performance 
 computing to build scalable and performant applications. In this hands-on 
 workshop, we will explore the fundamentals of quantum computing and apply 
 them to construct quantum applications. As future workloads are anticipate
 d to be mostly hybrid, the workshop will also introduce tools for interfac
 ing quantum and classical components through a commonly used machine learn
 ing workflow. For this workshop, we will use Bridges-2 to demonstrate the 
 Python API of NVIDIA’s CUDA Quantum, an open-source hybrid platform that
  integrates CPU, GPU, and QPU (quantum processing unit) computing while ab
 stracting away the complexity of this integration from the user.Speaker Bi
 ography:  Dr. Pooja Rao is a Senior Quantum Application Engineer at NVID
 IA, specializing in the intersection of quantum and high-performance compu
 ting. Her primary interests lie in quantum-assisted machine learning and l
 everaging quantum computing for fluid applications. During her doctoral an
 d postdoctoral research, she focused on developing numerical methods and c
 omputational algorithms to simulate fluid flow across diverse scales and i
 n various contexts. Her work ranged from turbulence modeling of fluid inst
 abilities encountered in inertial confinement fusion to simulating fluid-p
 article transfer phenomena in multi-scale aerospace applications. 
URL:https://support.access-ci.org/events/7473
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