Quantum Software

Iaakov Exman is a professor in Computer Science, focusing on Software Theory, at the HIT Holon Institute of Technology, Israel. His research developed from a Linear Algebraic theory of Software Design, into a wider and deeper Quantum Software theory which encompasses quantum software systems, and subsumes classical and hybrid software as special cases.Ricardo Pérez -Castillo is associate professor in the Faculty of Social Sciences and Information Technology at the University of Castilla-La Mancha (UCLM), Spain. His research interests include quantum software engineering, architecture-driven modernization, model-driven development, business-process archaeology, and enterprise architecture.Mario Piattini is a Full Professor of Computer Science and leader of the Alarcos Research Group at the University of Castilla-La Mancha. He has experience of working in both academia and industry on information systems quality. His current interests include Quantum Software Engineering, specially hybrid (quantum/classical) systems and development technologies.Michael Felderer is the Director of the Institute of Software Technology at German Aerospace Center (DLR), Germany, as well as a professor at the University of Innsbruck and Cologne. His research interests include software systems engineering for quantum computing, simulation technologies, and artificial intelligence as well as software quality assurance.

• 1. A Novel Perception of Quantum Software.- Part 1: Aspects of Quantum Software Theory.- 2. Simulating Quantum Software with Density Matrices.- 3. Superoperators for Quantum Software Engineering.- Part II: Quantum Software System Design.- 4. QSandbox: The Agile Quantum Software Sandbox.- 5. Verification and Validation of Quantum Software.- 6. Quantum Software Quality Metrics.- 7. Quantum Software  Ecosystem Design.- 8. Development and Deployment of Quantum Services.- 9. Engineering Hybrid Software Systems.- Part III: Quantum Software Laboratory.- 10. Trapped-Ion Quantum Computing.- 11. Quantum Software Engineering & Programming Applied to Personalized Pharmacogenomics.- 12. Challenges for Quantum  Software Engineering.- 13. Quantum Software  Engineering Issues and Challenges.