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Learn Quantum Computing with Python and IBM Quantum - Second Edition: Write your own practical quantum programs with Python by Robert Loredo

• Learn Quantum Computing with Python and IBM Quantum - Second Edition: Write your own practical quantum programs with Python
• Robert Loredo
• Page: 442
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781803244808
• Publisher: Packt Publishing

Download Learn Quantum Computing with Python and IBM Quantum - Second Edition: Write your own practical quantum programs with Python

Free ebooks and magazines downloads Learn Quantum Computing with Python and IBM Quantum - Second Edition: Write your own practical quantum programs with Python

Overview

A step-by-step guide to working with programs that exploit quantum computing principles with the help of IBM Quantum, Qiskit, and Python Understand the difference between classical computers and quantum computers Work with key quantum computational principles such as superposition and entanglement and see how they are leveraged on IBM Quantum systems Run your own quantum experiments and applications by integrating with Qiskit and Python IBM Quantum Lab 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 on several real quantum computers. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum dashboard and Quantum Information Science Kit (Qiskit) SDK. You will get well versed with the IBM Quantum Composer interface as well as the IBM Quantum Lab. You will learn the differences between the various available quantum computers and simulators. Along the way, you'll learn some of the fundamental principles of quantum mechanics, quantum circuits, qubits, and the gates that are used to perform operations on each qubit. As you build on your knowledge, you'll understand the functionality of IBM Quantum and the developer-focused resources it offers to address key concerns like noise, decoherence, and affinity within a quantum system. You'll learn how to monitor and optimize your quantum circuits. Lastly, you'll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum programs on your own and will have gained practical understanding of quantum computation skills that you can apply to your business. Get familiar with the contents and layout of IBM Quantum Lab Create and visualize quantum circuits Understand quantum gates and visualize how they operate on qubits using the IBM Quantum Composer Save, import, and leverage existing circuits with the IBM Quantum Lab Discover Qiskit and its latest modules for model, algorithm, and kernel developers Get to grips with fundamental quantum algorithms such as Deutsch-Jozsa, Grover's algorithm, and Shor's algorithm This book is for Python developers who are looking to learn quantum computing from the ground up and put their knowledge to use in practical situations with the help of the IBM Quantum platform and Qiskit. Some background in computer science and high-school-level physics and math is required. The Dashboard –Setup and tour what's available for you on the IBM Quantum Lab Tools –Circuit Composer: Visualize how to create a quantum circuit Creating Quantum Circuits using Quantum Lab Notebooks Understanding Basic Quantum Computing Principles Understanding the Quantum Bit (Qubit) Understanding Quantum Logic Gates Introducing Qiskit and the Qiskit Community Programming with Qiskit Terra system Monitoring and Optimizing Quantum Circuit Simulating Quantum Systems and Noise Models Understanding and Mitigating Quantum Noise Understanding Qiskit Operators & Application Modules Understanding Quantum Algorithms Applying Quantum Algorithms Appendix A -Resources Assessment

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