Quantum Computing Solutions

Solving Real-World Problems Using Quantum Computing and Algorithms

Häftad, Engelska, 2020

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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.

Produktinformation

Utgivningsdatum2020-12-21
Mått178 x 254 x 24 mm
Vikt610 g
FormatHäftad
SpråkEngelska
Antal sidor300
FörlagAPress
ISBN9781484265154

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Programspråk inom Data och it
Kvantfysik inom Naturvetenskap och teknik
Databaser inom Data och it

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 networkfor 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.

Part 1: Introduction.- Chapter 1: Quantum Solutions Overview.- Chapter 2: Mathematics Behind Quantum Computing.- Part 2: Quantum Computing Basics.- Chapter 3: Quantum SubSystems and Properties.- Chapter 4: Quantum Information Processing Framework.- Chapter 5: Quantum Simulators.- Chapter 6: Quantum Optimization Algorithms.- Chapter 7: Quantum Algorithms.- Chapter 8: Quantum Neural Network Algorithms.- Chapter 9: Quantum Classification Algorithms.- Chapter 10: Quantum Data Processing.- Chapter 11: Quantum AI Algorithms.- Chapter 12: Quantum Solutions.- Chapter 13: Evolving Quantum Solutions.- Chapter 14: Next Steps.