About QC4C3

Quantum computing is rapidly advancing as a complementary pillar to classical high-performance computing, offering new ways to tackle long-standing computational challenges. This workshop focuses on bridging quantum innovation with classical domains such as optimization, machine learning, and computational fluid dynamics (CFD). By fostering collaboration between experts in quantum algorithms, HPC, and applied sciences, the event provides a platform to explore hybrid strategies that combine quantum and classical resources at scale. Participants will discuss recent progress, share benchmarking insights, and identify realistic pathways for integrating quantum and quantum-inspired methods into industrial and scientific workflows. Through open dialogue and cross-disciplinary exchange, the workshop aims to shape a clear roadmap for the near-term impact of quantum computing within real-world computational environments. 

Objectives

1. Bridge Quantum and Classical Paradigms:
   Facilitate interdisciplinary collaboration between the quantum computing and high-performance computing (HPC) communities to address classical computational challenges through hybrid quantum–classical strategies.
   
   

2. Advance Algorithmic Design:
   Promote the development of quantum and quantum-inspired algorithms tailored for optimization, machine learning, and scientific simulation, emphasizing scalability, efficiency, and near-term feasibility.
   
   

3. Benchmark and Evaluate Performance:
   Encourage empirical studies that assess quantum and hybrid approaches on representative industrial and scientific workloads, providing transparent benchmarking, reproducibility, and resource estimation.
   
   

4. Foster Practical Integration:
   Explore methods for integrating quantum computing resources with HPC infrastructures, focusing on workflow orchestration, middleware development, and hybrid execution frameworks.
   
   

5. Drive Industrial and Societal Impact:
   Connect research innovations with real-world applications in sectors such as finance, logistics, energy, and materials science, highlighting pathways for quantum technologies to complement existing computational ecosystems.
   
   

6. Build a Sustainable Research Community:
   Establish a collaborative forum that promotes knowledge exchange, open data, and best practices, laying the groundwork for long-term progress in Quantum High-Performance Computing (QHPC).