Advanced CUDA-Q Workshop
Advanced CUDA-Q Workshop
Join us on an adventure with CUDA-Q to explore how quantum algorithms, machine learning, and generative AI can be integrated to unlock exciting possibilities for quantum computing. This journey features hands-on sessions, including a quick start with CUDA-Q and practical examples like learnable quantum walks (bridging machine learning and quantum computing) and quantum circuit synthesis using diffusion models (empowering quantum computing with generative AI). Additionally, we’ll delve into the highly optimized CUDA-QX library, especially hybrid solvers for quantum chemistry, driving innovation in hybrid quantum-classical systems.
Date: March 07th, 2025 (Friday)
Time: 14:00~16:30
Location:Chung Yuan Christian University
Innovation Pilot Center for Theory in Practice 2F
No.499 Xingzhong N. Rd., Zhongli Dist., Taoyuan City
1.Please bring your own laptop.
2.Number of participants: 100
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40 seats are reserved for Chung Yuan University students.
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60 seats are available for external applicants.
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If the number of applicants exceeds the limit, the final selection will be determined by the organizer.
3.Registration deadline: February 24. The organizer will send an email to the selected participants on February 28.
Agenda:
- CUDA-Q Intro & AI for Quantum
- Basic concepts and architecture of CUDA-Q
- The role and development trends of AI in quantum computing
- Advantages and application scenarios of CUDA-Q in quantum algorithms
- Hands-on I: Quick Start with CUDA-Q Academic
- Setting up the CUDA-Q development environment
- Writing and executing basic quantum programs
- Demonstration of simple quantum algorithms
- Hands-on II: Learnable Quantum Walk
- Basic concepts of quantum walk
- Combining machine learning with quantum computing
- Implementing learnable quantum walk using CUDA-Q
- Hands-on III: Generate Quantum Circuits with AI
- Applications of generative AI in quantum computing
- How diffusion models assist in quantum circuit synthesis
- AI-driven quantum circuit design using CUDA-Q
- Hands-on IV: CUDA-QX for Quantum Chemistry
- Introduction to CUDA-QX library and its optimization features
- Applications of hybrid quantum-classical solvers
- Implementing quantum chemistry computations using CUDA-QX
Instructor:
Yun-Yuan (Pika) Wang ‧ Sr. Solution Architect ‧ NVIDIA AI Technology Center
Yen-Jui Chang ‧ Assistant Professor ‧ CYCU MPICBD
TAs:
Johnson Sun ‧ Solution Architect ‧ NVIDIA AI Technology Center
Yang-Hsien Lin ‧ Sr. Solution Architect ‧ NVIDIA AI Technology Center
If you have question,please contact
Yen-Jui Chang Asst Prof.(aceest@cycu.edu.tw), or
Ya-Ting Lin Administrative Assistant(upicbd@cycu.edu.tw),or
Kun-Yi Mo Administrative Assistant(justforwork1220@cycu.edu.tw)
