Quantum Computing and Quantum Physics for Beginners [Video]

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By Kumaresan Ramanathan
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  1. Introduction

About this video

Do you know that a 64-bit quantum computer can process 36 billion bytes of information in each step of computation, compared to the 8 bytes that a normal home computer can process in each step of computation? Being exponentially faster than classical computers of today, quantum computing is the next wave of the software industry. No doubt, companies such as Google, Intel, IBM, and Microsoft are investing billions in building quantum computers. This course introduces you to quantum computing and shows you how to solve complex computational problems.

The course starts by introducing you to quantum computing, explaining how it is different from classical computing. Next, you will gain a solid understanding of the quantum cryptography concepts such as photon polarization, no-cloning theorem, encoding and encryption concepts, and secure protocols. Moving along, you will dive deep into topics related to basic quantum physics and learn the mathematical tools needed to analyze quantum systems. Towards the end, you will learn how to use Microsoft Q# and IBM Quantum Experience for quantum programming and to develop quantum software.

By the end of this course, you will become familiar with quantum computing and will have developed the skills to use quantum cryptography and quantum software to solve real-world computing problems. All code files are available at https://github.com/PacktPublishing/QC101-Quantum-Computing-and-Quantum-Physics-for-Beginners.

Publication date:
November 2019
Publisher
Packt
Duration
3 hours 29 minutes
ISBN
9781838989934

About the Author

  • Kumaresan Ramanathan

    Kumaresan Ramanathan is the Principal Architect at Coroman Systems. He is passionate about making technology easy to understand. He has taught students at the University of Massachusetts and guided software professionals at Cadence Design Systems, icons, Empirix, Relona, and Johnson & Johnson. His goal is to help you earn more than $200,000 annually as a software professional. He focuses on teaching AI and Quantum Computing because these are the highest-paid skills in the industry. His courses help beginners who have a basic understanding of high school math and coding. In addition to teaching technical skills, Kumaresan also helps you build leadership ability. His courses discuss trade-offs between various technical choices and help you take wise decisions. As an expert software professional, you will be able to recommend solutions, suggest implementation choices, and guide software design. He has an electrical engineering degree from IIT and a masters degree in c

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