QC&DKM 2026

About the Workshop

Quantum computing is rapidly progressing from foundational theory to experimental platforms that promise transformative computational capabilities. At the same time, modern data and knowledge management systems face growing demands in scalability, heterogeneity, security, and integration with AI-driven analytics. This creates a timely opportunity and necessity to explore the intersection of quantum computing with data and knowledge management.

The Workshop on Quantum Computing and Data/Knowledge Management (QC&DKM) provides a focused forum for researchers and practitioners investigating how quantum computing can enhance core data management tasks and how data-centric requirements shape quantum computing architectures and applications.

Goals

• Foster cross-fertilization between the database and quantum computing communities
• Promote the development of quantum-enhanced methods for querying, retrieval, optimization, and analytics
• Explore how knowledge representation and semantic techniques can be supported by quantum models
• Stimulate research on hybrid classical-quantum architectures and workflows for data-intensive tasks
• Support community-building efforts through discussion sessions and shared research agendas

Target Audience

QC&DKM targets a broad audience at the intersection of quantum technologies and data-centric systems, including:

• Database researchers working on query processing, optimization, indexing, and data systems
• Researchers in knowledge representation, semantic technologies, knowledge graphs, and reasoning
• Researchers and engineers developing quantum algorithms, quantum software, and programming platforms
• Researchers exploring hybrid AI/ML pipelines that combine classical and quantum components
• Practitioners from industry and national laboratories investigating quantum advantage for data-intensive workloads in healthcare, finance, cybersecurity, and scientific computing

Important Dates