We invite submissions of papers ( Lower limit 4 pages and up to 10 pages excluding references ) presenting related topics but not limited below:
AI-driven Workload Management in Q-HPC Systems
Q-HPC Software Frameworks and AI-Assisted Quantum Compilation
Scalability and Decomposition Strategies
Software frameworks for hybrid Q-HPC systems.
AI-driven Error Mitigation and Noise Reduction Strategies
User interface and Q-HPC system design.
AI-driven Workflow management and orchestration in Q-HPC ecosystems.
Programming Models and Abstractions
Benchmarking and Performance Metrics on Q-HPC systems
AI-enabled Q-HPC Workflows
Resource allocation and scheduling strategies in hybrid environments.
Case studies in large-scale simulations and optimizations using AI-powered Q-HPC ecosystems in applications such as chemistry, materials science, hyperspectral imagery, and high-energy physics, etc.
Submissions will be peer-reviewed, double blind, and and selected papers will be presented as invited or regular talks, and will be published in the SC26 proceedings.
