Dylan Lopez
Dylan is a Ph.D. candidate at Chung Yuan Christian University in Taiwan, where he focuses on quantum computing applications for the energy industry. He is a contributor and collaborator of NVIDIA AI Technology Center (NVAITC), where he worked on use cases and technical academic content. Dylan has been a Pythonista for 8 years, where he mainly used Python for AI, Data Science, and Quantum Computing for research and product development. Recently, he has dedicated his time to teaching and advocating quantum computing as the Director of Collaboration and Partnerships at the Quantum Computing Society of the Philippines, as a frequent mentor at quantum hackathons in ASEAN, and as a lecturer at De La Salle University.
Session
The age of quantum computing is upon us. But how can we prepare for this new type of programming in Python without a quantum computer hooked to our rigs or with free access? One good way is to prepare our code by running it on GPUs as quantum simulators. NVIDIA CUDA-Q enables the development of pure or hybrid quantum programs that run on both GPUs and quantum computers. In this workshop, we will cover an introduction to quantum programming and how to use NVIDIA CUDA-Q to run basic quantum programs, and we will see examples of how to apply them to applied cases such as quantum machine learning and optimization.