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Add CUDA-Q talk
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@@ -58,6 +58,11 @@ <h2>Overview</h2>
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<td><a href="#fy258">LCI: a Lightweight Communication Interface for Asynchronous Multithreaded Communication</a></td>
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<td>05/27/2025</td>
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</tr>
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<tr>
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<td>Monica Van Dieren</td>
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<td><a href="#fy263">Accelerated Quantum Supercomputing with CUDA-Q</a></td>
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<td>05/21/2025</td>
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</tr>
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<td>Aparna Chandramowlishwaran</td>
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<td><a href="#fy261">Scaling AI for Scientific Discovery: Faster Kernels, Efficient Models, Better Physics</a></td>
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<h2>Talks</h2>
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<div id="fy263"></div>
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<h3>Accelerated Quantum Supercomputing with CUDA-Q</h3>
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Speaker: Monica Van Dieren<br>
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Nvidia<br><br>
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Abstract:
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<p>
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Quantum computing holds the promise of transforming industries and ushering in a new era of high-performance computing. However, achieving this potential depends heavily on AI supercomputing to address algorithm research and overcome the challenges of design, control, and integration that impede the development of practical quantum devices. This presentation explores the future landscape of large-scale, commercially viable hybrid quantum devices, enabled by GPU-accelerated simulations, AI-enhanced algorithms, and tightly coupled HPC control systems. We also introduce CUDA-Q, the open source, qubit-agnostic platform driving this vision forward.
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</p>
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Bio:
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<p>
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As a Senior Technical Marketing Engineer at NVIDIA, Monica VanDieren specializes in quantum and high-performance computing, driving initiatives such as the CUDA-Q Academic program. Before joining NVIDIA, Monica worked on IBM’s Quantum Accelerator programs. With a Ph.D. in Mathematical Sciences from Carnegie Mellon University, she brings over 20 years of academic experience at universities such as Stanford, University of Michigan, and Robert Morris University to her work.
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<div id="fy258"></div>
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<h3>LCI: a Lightweight Communication Interface for Asynchronous Multithreaded Communication</h3>

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