This is the code repository for Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt.
A hands-on introduction to quantum computing and writing your own quantum programs with Python
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 device. 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.
This book covers the following exciting features: 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
param_t1 = t1*1.2
param_a = 1.0
param_b = 0.0
Following is what you need for this book: 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.
With the following software and hardware list you can run all code files present in the book (Chapter 1-14).
| Chapter | Software required | OS required |
|---|---|---|
| 1 | Latest browser | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
The block of code available on page 65 is incorrect and should be as follows:
from qiskit.visualization import plot_bloch_multivector
qc = QuantumCircuit(1)
...
...
...
#Display the Bloch sphere
plot_bloch_multivector(stateVectorResult)
- Page 9 (paragraph 2, line 1): As described in the shaded bar area, where the error rate range is illustrated by Singlequbit U3 error rate, should be As described in the shaded bar area, where the error rate range is illustrated by Singlequbit U2 error rate,
Please visit the following link to check the CiA videos: https://bit.ly/35o5M80
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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Simply click on the link to claim your free PDF.