FQI – Special Quantum Technologies Seminar
Presented by the Florida Quantum Initiative
“AI for Quantum Computing”
Friday, April 18 at 10:00am
1000 Malachowsky Hall
NVIDIA Audiorium
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Abstract

Quantum computing has the potential to revolutionize industries by accelerating high-performance computing. However, realizing this potential relies heavily on AI supercomputing to address the challenges that hinder the development of practical quantum devices. This talk will survey these challenges and the applications of AI in overcoming them and aims to be accessible for students and faculty new to quantum computing.
We will explore various issues, from error correction and noise reduction to AI-assisted circuit design and optimization. The discussion will then delve deeper into an example that demonstrates the power of distributed hybrid computing with CUDA-Q, the open-source, qubit-agnostic platform driving this vision forward. This example will showcase how AI can facilitate circuit knitting, a technique used in quantum computing to manage and optimize the execution of large quantum circuits on smaller quantum processors. By leveraging AI, we can optimize this process, enhancing the efficiency and scalability of quantum computations.
Biography
As a Senior Technical Marketing Engineer at NVIDIA, Dr. Monica VanDieren specializes in quantum and high-performance computing, driving the CUDA-Q Academic initiative. Before joining NVIDIA, Monica contributed to IBM’s Quantum Accelerator program. VanDieren has served as a board member of The WeBWorK Project, supporting an open-source homework platform, and as an advisory board member for CalcPlot3D, an online 3D-graphing calculator. 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.