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UID:59f93a06-29d0-4ead-8797-dcd102f42e90@support.access-ci.org
DTSTAMP:20260324T101948Z
DTSTART:20260403T170000Z
DTEND:20260403T180000Z
SUMMARY:Bridges-2 Webinar – Quantum Machine Learning Workflows: What HPC 
 Enables and What Quantum Hardware Delivers
DESCRIPTION:We invite you to join us for an insightful webinar hosted by th
 e Pittsburgh Supercomputing Center:Quantum Machine Learning Workflows: Wha
 t HPC Enables and What Quantum Hardware Delivers Date: April 3rdTime: 1:0
 0pm - 2:00pm (EDT)Location: VirtualQuantum Machine Learning (QML) is often
  presented as a near-term application of quantum computing, yet practical 
 deployment remains constrained by hardware limitations and workflow comple
 xity. In this talk, we examine how QML models are actually developed and e
 valuated today, with a focus on the interplay between high-performance com
 puting (HPC) systems and emerging quantum hardware.We walk through a real-
 world case study deploying a quantum convolutional neural network (QCNN) a
 cross classical simulators and multiple quantum processing units (QPUs). W
 hile simulations achieve strong performance, results on hardware show sign
 ificant degradation and variability, highlighting the impact of noise, com
 pilation strategies, and device-specific constraints.Using this example, w
 e outline where HPC resources play a critical role in QML, including large
 -scale simulation, hybrid optimization loops, and parameter exploration. W
 e also discuss current limitations in reproducibility, benchmarking, and m
 odel portability across quantum systems.The goal of this talk is to provid
 e a grounded perspective on what is possible today, and to help HPC practi
 tioners understand how systems like PSC’s Bridges-2 can support quantum 
 workflows as the field continues to evolve.Speaker:Daniel Justice, Researc
 her, CMULearn more and register for this exciting event at the following l
 ink:https://cmu.zoom.us/meeting/register/LzZ9cS6LRCi5pgQ3Cu5bNAWe look for
 ward to seeing you there!Best regards,The Bridges-2 Project Team
URL:https://support.access-ci.org/events/9025
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