Overview

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 Determine the difference between classical computers and quantum computers Understand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systems Run your own quantum experiments and applications by integrating with Qiskit Book DescriptionIBM 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 Explore quantum computational principles such as superposition and quantum entanglement Become familiar with the contents and layout of the IBM Quantum Experience Understand quantum gates and how they operate on qubits Discover the quantum information science kit and its elements such as Terra and Aer Get to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithm How to create and visualize a quantum circuit Who this book is forThis 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.

Full Product Details

Author:   Robert Loredo
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781838981006

ISBN 10:   1838981004
Pages:   510
Publication Date:   28 September 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Table of Contents The Dashboard-Exploring the IBM Quantum Experience Circuit Composer - Creating a Quantum Circuit Creating Quantum Circuits using Quantum Lab Notebooks Understanding Basic Quantum Computing Principles Understanding the Quantum Bits (Qubit) Understanding Quantum Logic Gates Introducing Qiskit and its Elements Programming with Qiskit Terra Monitoring and Optimizing Quantum Circuits Executing Circuits Using Qiskit Aer Mitigating Quantum Errors Using Ignis Learning about Qiskit Aqua Understanding Quantum Algorithms Applying Quantum Algorithms Appendix

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Author Information

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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