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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 quantum phase kickback

In this first recipe, we will take a closer look at a staple component of many quantum algorithms, quantum phase kickback, which is used to let one or more qubits pick up the phase angle of a second qubit without changing that second qubit. In the Building the Grover algorithm recipe, we will use phase kickback to identify the correct solution for our search and to amplify the probability of measuring that solution.

This recipe will require a little bit of math to explain some pretty unintuitive aspects of the process and results, but we'll walk through it. It is a really good starting point for the mind-blowing aspects of quantum algorithms.

Getting ready

The sample code for this recipe can be found here: https://github.com/PacktPublishing/Quantum-Computing-in-Practice-with-Qiskit-and-IBM-Quantum-Experience/blob/master/Chapter09/ch9_r1_kickback.py.

The recipe in itself is pretty simple and consists of a set of steps that will walk...

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