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Quantum Computing in Practice with Qiskit® and IBM Quantum Experience®

You're reading from   Quantum Computing in Practice with Qiskit® and IBM Quantum Experience® Practical recipes for quantum computer coding at the gate and algorithm level with Python

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781838828448
Length 408 pages
Edition 1st Edition
Languages
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Author (1):
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Hassi Norlen Hassi Norlen
Author Profile Icon Hassi Norlen
Hassi Norlen
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Preparing Your Environment 2. Chapter 2: Quantum Computing and Qubits with Python FREE CHAPTER 3. Chapter 3: IBM Quantum Experience® – Quantum Drag and Drop 4. Chapter 4: Starting at the Ground Level with Terra 5. Chapter 5: Touring the IBM Quantum® Hardware with Qiskit® 6. Chapter 6: Understanding the Qiskit® Gate Library 7. Chapter 7: Simulating Quantum Computers with Aer 8. Chapter 8: Cleaning Up Your Quantum Act with Ignis 9. Chapter 9: Grover's Search Algorithm 10. Chapter 10: Getting to Know Algorithms with Aqua 11. Other Books You May Enjoy

Exploring a selected backend using Qiskit®

Exploring backend data visually is a handy but strictly manual process. Sometimes you might want to include backend information in your program logic when running your programs, for example, to select the appropriate backend or dynamically apply your gates on the best qubits. To do this, we can pull this data directly from the available backend information by using Qiskit®.

In this recipe, we will use the backend.configuration(), backend.status(), and backend.properties() methods to retrieve and list the available and operational backends, with some important configuration data such as the number of qubits, the maximum number of experiments you can run, and the number of pending jobs in the queue. We will also dig out some important qubit parameters such as T1, T2, frequency, and readout error for a selected backend.

Okay, let's take a look at how it is done:

  1. Start by importing the IBMQ class and load our account...
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