The 3rd IEEE International Conference on Quantum Software (IEEE QSW 2024) eagerly invites the global community to explore the expanding horizon of quantum software engineering. This year, we delve deeper into the intricacies and innovations of quantum computing, with a keen focus on high-performance computing with quantum computers, hybrid quantum software, and AI-assisted quantum development. The core aim of IEEE QSW 2024 is to foster an environment of collaboration and knowledge sharing, where the latest developments in quantum software applications, analysis and evolution, engineering, and cloud integration are brought to the forefront. Join us at IEEE QSW 2024 to be part of a transformative journey that shapes the future of quantum software engineering.

 

All topics relevant to Quantum Software are of interest including, but not limited to the following:

 

Architectural Styles of Hybrid Quantum-Classical Applications

Architecture Blueprints for Hybrid Quantum-Classical Applications

Best Practices and Patterns for Hybrid Quantum-Classical Applications

Integration and Orchestration of Quantum/Classical Components in Hybrid Applications

Specification & Verification of Functional/Non-functional Requirements of Hybrid Applications

 

Impact of Hybrid Quantum-Classical workflows on HPC architectures

HPC architectures for leveraging Hybrid Quantum-Classical workflows

Quantum-Classical Information Hybrid Payloads

Lifecycle of HPC Quantum-Classical Hybrid Applications 

 

AI-Based Circuit Optimization and Synthesis

AI-Assisted Error Mitigation Techniques

AI-Powered Execution of Quantum Circuits

Limits of AI-Powered Simulation of Quantum Computers

AI-Driven Unitary Synthesis

 

Migration from Proof-of-Concept Quantum Applications to Production

Scalability of Quantum Applications (e.g., sensitivity of increasing qubits, gate fidelity)

Migration between different Quantum Technologies

Software-perspective Experience Reports of Applying Quantum Technologies

Best Practices and Patterns for Quantum Applications 

 

Quantum Software Analysis and Mining

KPIs and Quality Metrics for Quantum Applications

Evolution and Re-engineering of Quantum Applications

Quantum Software Visualization and Comprehension

Quantum Software Maintenance, Repair, and Improvement

 

Development Process for Quantum Applications

Lifecycle Models for Quantum Applications

Data Preparation and Error Mitigation Techniques

Testing of Quantum Applications

Quantum Software Languages, Code Generators, Compilers, and Simulators 

 

Quantum Computing as a Service

Interoperability and Portability of Quantum Software

Deployment Automation of Quantum Software

Cloud-based Quantum Software Development Environments

Quantum Software Performance and Benchmarkin