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Home > Computing and Information Technology > Computer science > Computer architecture and logic design > Parallel processing > Learn Quantum Computing with Python and IBM Quantum: Write your own practical quantum programs with Python
Learn Quantum Computing with Python and IBM Quantum: Write your own practical quantum programs with Python

Learn Quantum Computing with Python and IBM Quantum: Write your own practical quantum programs with Python

          
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About the Book

A step-by-step guide to working with programs that exploit quantum computing principles, with the help of IBM Quantum, Qiskit, and Python Key Features Understand the difference between classical computers and quantum computers Work with key quantum computational principles such as superposition, interference, and entanglement, and observe how they are leveraged on the IBM Quantum systems Run your own quantum experiments and applications by integrating with Qiskit and Python Book DescriptionThe IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. 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 algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business. What you will learn Get familiar with the features within the IBM Quantum Platform Create and visualize quantum gates and circuits Operate quantum gates on qubits using the IBM Quantum Composer Install and run your quantum circuits on an IBM Quantum computer Discover Qiskit and its many features such as the Qiskit Runtime Get to grips with fundamental quantum algorithms and error mitigation techniques to help you get started Understand the new era of quantum utility and how this moves us closer towards quantum advantage Who this book is forThis 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.

Table of Contents:
Table of Contents Exploring the IBM Quantum Tools Creating Quantum Circuits with IBM Quantum Composer Introducing and Installing Qiskit Understanding Basic Quantum Computing Principles Understanding the Quantum Bit (Qubit) Understanding Quantum Logic Gates Programming with Qiskit Optimizing and Visualizing Quantum Circuits Simulating Quantum Systems and Noise Models Suppressing and Mitigating Quantum Noise Understanding Quantum Algorithms Applying Quantum Algorithms Understanding Quantum Utility and Qiskit Patterns Appendix A: Resources Appendix B: Assessments


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Product Details
  • ISBN-13: 9781803240923
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Revised edition
  • No of Pages: 420
  • ISBN-10: 180324092X
  • Publisher Date: 25 Feb 2025
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: Write your own practical quantum programs with Python


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