With the rapid advancement of quantum computing (QC), high-performance computing (HPC), and artificial intelligence (AI), computing systems are undergoing a fundamental transformation toward heterogeneous and deeply integrated paradigms. Quantum computing offers the potential for exponential speedup in specific problem domains, HPC systems provide large-scale parallel processing capabilities, and AI techniques enable intelligent system optimization, resource management, and application-level acceleration. The convergence of these three paradigms is reshaping the future of computing infrastructures, driving the evolution from traditional performance-centric systems to intelligent, adaptive, and hybrid computing ecosystems.
This Special Track aims to bring together researchers and practitioners from quantum computing, parallel and distributed systems, high-performance computing, and artificial intelligence to explore novel architectures, system software, programming models, and applications for quantum–supercomputing–AI integrated computing systems. The track particularly focuses on the design and implementation of scalable, reliable, and efficient hybrid computing infrastructures that bridge quantum processors, classical HPC systems, and AI accelerators. We welcome original research contributions that advance the theory, systems, and applications of next-generation integrated computing paradigms.
We are pleased to announce the important dates for PDCAT 2026.
Please mark your calendars!
All deadlines are based on Anywhere on Earth (AoE), at midnight on the specified date.