Recent Advances in AI for Quantum: Algorithms, Applications

About the Workshop

This workshop will cover recent advances in the exciting intersection of Artificial Intelligence and Quantum Computing, focusing on novel algorithms and their applications. We aim to bring together researchers and practitioners to discuss the latest developments and future directions in this rapidly evolving field.

Workshop Schedule

Workshop Organizers

• Pooja Rao
• Marwa Farag
• Zohim Chandani
• Huck Yang
• Taylor Patti
• Amandeep Singh Bhatia
• Yuri Alexeev
• Sabre Kais

Workshop Relevance

This workshop is highly relevant to the fields of quantum computing and quantum engineering, focusing on key areas such as hybrid quantum computing, AI-integrated quantum algorithms, scalability, and more. It explores the integration of AI techniques with quantum algorithms, aligning with current research trends in error mitigation and scalable quantum-classical hybrid systems.

Related NVIDIA Quantum in AI Publications and Blog Posts

• NVIDIA CUDA-Q Powers Quantum Applications Research Authors: Zohim Chandani, Yuri Alexeev, Pooja Rao, Elica Kyoseva, Marwa Farag, Michael Brown and Monica VanDieren
• Advancing Quantum Algorithm Design with GPTs Authors: Mark Wolf, Pooja Rao, Kouhei Nakaji and Christoph Gorgulla
• Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution Authors: Taylor L. Patti, Thien Nguyen, Justin G. Lietz, Alexander J. McCaskey, Brucek Khailany
• A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning Authors: Chen-Yu Liu, Chao-Han Huck Yang, Min-Hsiu Hsieh, Hsi-Sheng Goan