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Solutions Architect's Handbook - Second Edition

You're reading from  Solutions Architect's Handbook - Second Edition

Product type Book
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816618
Pages 590 pages
Edition 2nd Edition
Languages
Authors (2):
Saurabh Shrivastava Saurabh Shrivastava
Profile icon Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Profile icon Neelanjali Srivastav
View More author details

Table of Contents (22) Chapters

Preface 1. The Meaning of Solution Architecture 2. Solution Architects in an Organization 3. Attributes of the Solution Architecture 4. Principles of Solution Architecture Design 5. Cloud Migration and Hybrid Cloud Architecture Design 6. Solution Architecture Design Patterns 7. Performance Considerations 8. Security Considerations 9. Architectural Reliability Considerations 10. Operational Excellence Considerations 11. Cost Considerations 12. DevOps and Solution Architecture Framework 13. Data Engineering for Solution Architecture 14. Machine Learning Architecture 15. The Internet of Things Architecture 16. Quantum Computing 17. Rearchitecting Legacy Systems 18. Solution Architecture Document 19. Learning Soft Skills to Become a Better Solution Architect 20. Other Books You May Enjoy
21. Index

Quantum Computing

Quantum technologies are a rapidly growing and interdisciplinary field of science and engineering. Until now, we've depended upon supercomputers to solve most problems, but quantum computing (QC) accelerates complex calculations exponentially, resulting in a very powerful supercomputer. As per quantum physics, a quantum is the smallest unit of any physical property and refers to the properties of atomic particles, such as electrons, neutrinos, and photons. QC can solve computational problems beyond classical computers' reach by utilizing the laws of quantum mechanics to process information in new ways.

QC is a new paradigm in computing that speeds up solutions to complex problems, giving not 10x performance improvement but 10X. This approach to computing could transform chemical engineering, material science, drug discovery, financial portfolio optimization, and machine learning.

QC is still in the research stage, and it may take some years before...

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