Learn Quantum Computing with Python and IBM Quantum Experience: A hands-on introduction to quantum computing and writing your own quantum programs with Python
£29.40£31.30 (-6%)
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 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
- 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 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.
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
Read more
by IB
Don’t bother buying this product. It is out of date. Even the code files on Github haven’t been updated.
by Jenny
Great, easy to follow book with plenty of examples and clear explanations. I use it often as a reference when coding with Qiskit, it can either be used by following chapter by chapter or as a support to the Qiskit textbook and other online resources.
by Amazon Customer
As someone with a non-technical background interested in Quantum Computing, this really helped me understand step by step how to create circuits and use the IBM Quantum experience!
Amazing guide
Thanks Robert
by Holly
I was given a review copy of this book. It’ss a solid and substantial book, which combines practical tutorials with underlying theory. I appreciated how it front loads hands-on examples before digging into the theory. The author makes a deliberate effort to accommodate different learning styles by mixing code samples, visual aids, mathematics, and analogies.
As a physicist, there were a few points where I thought “I’m not sure that’s my understanding” or “I wouldn’t have expressed it like that”, but they were very few and very minor. There were also a few points when I would have liked more digging into the “why” and “how this is useful”. For example, in the explanation of the Grover algorithm, the answer is ”hardwired’ into the oracle. That’s a common pattern in explanations, but it confuses me every time! An aside explaining that the hardwiring is a useful implication but the oracle could search for something which satisfies a function would have been useful.
This is not a book about the philosophy of quantum computers, and it’s not intended to be. It gives lots of code samples, lots of step by step explanations, and is a useful walkthrough of how to program a quantum computer on the cloud, including a good batch of foundational theory. I’ve already started recommending the book to others.
by BrianRuislip
Hi. Thoroughly recommend this book. My background is physics with python experience and I wanted an introductory practical quantum computing guide. This book has given me exactly this and it’s easy to read.