Quantum Computing Solutions

Solving Real-World Problems Using Quantum Computing and Algorithms

Authors: Kommadi, Bhagvan

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  • Teaches you how to design and develop your own quantum solutions
  • Shows you how to implement popular quantum algorithms in an appropriate context in real life
  • Demonstrates how quantum algorithms speed up machine learning and algorithms compared to classical ones
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  • ISBN 978-1-4842-6516-1
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Softcover $39.99
price for USA
  • ISBN 978-1-4842-6515-4
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About this book

Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines.

Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle.

Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail.

The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals.


What You Will Learn

  • Understand the mathematics behind quantum computing
  • Know the solution benefits, such as automation, cost reduction, and efficiencies
  • Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations
  • Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines
  • Use AI algorithms, including probability, walks, search, deep learning, and parallelism


Who This Book Is For

Developers in Python and other languages interested in quantum solutions. The secondary audience includes IT professionals and academia in mathematics and physics. A tertiary audience is those in industry verticals such as manufacturing, banking, and pharma.

About the authors

Bhagvan Kommadi is the founder of Architect Corner, an AI startup, and he has 20 years of industry experience ranging from large-scale enterprise development to helping incubate software product startups. He has a masters degree in industrial systems engineering from Georgia Institute of Technology and a bachelors degree in aerospace engineering from the Indian Institute of Technology, Madras. He is a member of the IFX forum, Oracle JCP, and a participant in Java Community Process.

Bhagvan founded Quantica Computacao, the first quantum computing startup in India. He has engineered and developed simulators and tools in quantum technology using IBM Q, Microsoft Q#, and Google QScript. The company's focus is developing quantum cryptographic tools to provide quantum proof data security, which will help banking institutions protect their transactions. He is now Director of Product Engineering at Value Momentum. Value Momentum has a social network for doctors (White Coats) and provides telehealth support through the Practice Plus suite of products and services.

Bhagvan has published papers and presented at IEEE, AstriCon, Avios, DevCon, PyCon, and genomics and biotechnology conferences on topics including adaptive learning, AI Coder, and more. He is a hands-on CTO who has been contributing to open source, blogs, and the latest technologies such as Go, Python, Django, node.js and Java, MySQL, Postgres, Mongo, and Cassandra. He is the technical reviewer for the book Machine Learning with TensorFlow. He has written the book Hands-On Data Structures and Algorithms with Go and Paytech and The Payment Technology Handbook for Investors, Entrepreneurs, and FinTech Visionaries.


Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook $29.99
price for USA
  • ISBN 978-1-4842-6516-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-6515-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Quantum Computing Solutions
Book Subtitle
Solving Real-World Problems Using Quantum Computing and Algorithms
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Bhagvan Kommadi
eBook ISBN
978-1-4842-6516-1
DOI
10.1007/978-1-4842-6516-1
Softcover ISBN
978-1-4842-6515-4
Edition Number
1
Number of Pages
XVII, 300
Number of Illustrations
131 b/w illustrations
Topics