A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time
Key features
Book Description
IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors.
You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience.
By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business.
What you will learn
Who this book is for
This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required.
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Robert Loredo is the IBM Quantum Global Technical Ambassador lead with over 20 years' experience in software architecture and engineering. He is also a Qiskit Advocate and Master Inventor who holds over 160 patents and has presented various workshops, lectures, and articles covering quantum computing, artificial intelligence, and bioinformatics world-wide. As an adjunct professor, he has taught cloud computing and software engineering at the Florida International University School of Computer Science. He holds both a bachelor's and a master's degree in Computer and Electrical Engineering from the University of Miami and is currently pursuing his PhD in Computer Science, specializing in Machine Learning and Neuroscience, at Florida International University.
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