About us

Q-Data 2026 is the 3rd workshop collocated with ACM SIGMOD/PODS 2026 that explores the potential of quantum computing and quantum-inspired hardware accelerators for data processing and data management. Topics of interest include enhancing database system components with quantum computing, hybrid quantum-classical data processing systems, quantum machine learning for autonomous database management, and domain-specific approaches for data analysis in sectors like finance or healthcare.

Important Dates

Fri, Mar 20, 2026

Paper submissions due

Sat, Apr 4, 2026

Notifications to authors

Fri, May 1, 2026

Camera-ready due

Sun, May 31, 2026

Workshop Date

Paper Submission

Research Paper Submission Tracks

Quantum computing for data systems

Quantum computing for data exploration/discovery/integration

Quantum machine learning for databases

Databases for quantum computing

Enhancing database system components (e.g., query optimizer, query scheduler, transaction scheduler, authentication and integrity manager) with quantum computing and quantum-inspired accelerators

Data processing systems that integrate quantum-based and quantum-inspired accelerators, including hybrid quantum-classical approaches

Quantum machine learning for autonomous database management, database tuning, workload management, and learned indexes

Approaches for data exploration, discovery, and integration based on quantum computing and quantum-inspired hardware accelerators

Formal analysis and experimental evaluations assessing the potential of quantum computing for specific use cases in data processing and data management

Vision papers describing novel database system designs and novel use cases in data processing and management enabled by quantum computing

Quantum computing libraries and programming interfaces for database systems

Domain-specific approaches exploiting quantum computers and quantum-inspired accelerators for data analysis (e.g., in finance or health care)

Design of benchmarks, metrics, and evaluation frameworks for hybrid quantum–classical data processing systems and quantum-inspired accelerators

Leveraging ideas, techniques, and systems from the database community to support advances in quantum computing

Call for Papers Description

We are allowing submissions for full, short, and abstract papers. The workshop explores the potential of quantum computing and quantum-inspired hardware accelerators for data processing and data management.