Quantum Software Engineering

In addition to being a solid scientific and engineering research field, quantum computing is also becoming an emergent technology market expected to play an increasingly important role in the development of new high-tech products and services.

In order to flourish and fully integrate its deliverables into IT ecosystems, the quantum computing industry needs to create technical standards and best practices. In particular, the design, testing, and running of advanced quantum algorithms in hybrid quantum-digital platforms (e.g., quantum circuit-based computation together with HPC platforms) will likely be made by teams located in different regions and collaborating on virtual environments. Among the fields that shall contribute towards overcoming the technical challenges of these complex scenarios we find Quantum Software Engineering.

This Topical Collection aims at engaging the quantum computing community, particularly those working on quantum algorithms and quantum software engineering, in actively discussing the production of quantum software. Topics include, but are not limited to:

• Quantum programming techniques and practices

• Quantum software analysis, design, testing, running, verification, quality assurance, and maintenance

• Quantum software engineering methodologies

• Quantum software modelling

• AI & Quantum machine learning for quantum software engineering

• Quantum algorithms and quantum computational complexity

• Quantum resource estimation

• Quantum software engineering on distributed systems

• Quantum software engineering and high-performance computing

• Automation of quantum software production

• Metrics for quantum software

• Frameworks and tools for developing quantum software

• Industrial applications

• Empirical evaluations