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Details for:
Serrano M. Quantum Software Engineering 2022
serrano m quantum software engineering 2022
Type:
E-books
Files:
1
Size:
27.3 MB
Uploaded On:
Oct. 15, 2022, 3:09 p.m.
Added By:
andryold1
Seeders:
1
Leechers:
0
Info Hash:
5D34655D8F592C5021BD72E3C7390D96071F7C3A
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Textbook in PDF format This book presents a set of software engineering techniques and tools to improve the productivity and assure the quality in quantum software development. Through the collaboration of the software engineering community with the quantum computing community new architectural paradigms for quantum-enabled computing systems will be anticipated and developed. The book starts with a chapter that introduces the main concepts and general foundations related to quantum computing. This is followed by a number of chapters dealing with the quantum software engineering methods and techniques. Topics like the Talavera Manifesto for quantum software engineering, frameworks for hybrid systems, formal methods for quantum software engineering, quantum software modelling languages, and reengineering for quantum software are covered in this part. A second set of chapters then deals with quantum software environments and tools, detailing platforms like Quantum Path, Classiq as well as quantum software frameworks for deep learning. Quantum Computing Foundations Quantum Software Engineering Landscape and Challenges Quantum Information Technology Governance System Quantum Software Development Lifecycle Formal Methods for Quantum Software Engineering A Quantum Software Modeling Language Quantum Software Models: Density Matrix for Universal Software Design Quantum Service-Oriented Architectures: From Hybrid Classical Approaches to Future Stand-Alone Solutions Quantum Software Testing: Current Trends and Emerging Quantum Software Measurement Quantum Software Modernization Quantum Software Tools Overview Quantum Software Development with Quantum Path Quantum Software Development with Classiq Quantum Software Frameworks for Deep Learning
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Serrano M. Quantum Software Engineering 2022.pdf
27.3 MB