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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

Chapter 9: Grover's Search Algorithm

In this chapter, we will take a look at a fairly well-known quantum algorithm: Grover's search algorithm. We will learn how to code it by building our own circuits for the following variations: a 2-qubit version, a 3-qubit version, and a 4- and more qubit version, to see how the complexity of the circuit grows with the number of qubits.

We will run our algorithm both on a local simulator and on an IBM Quantum® backend and will see how the algorithm works pretty well on the relatively short circuit that is required for a 2-qubit Grover, but not as well on the much larger circuits that are required for more qubits. The number of gates in your circuit gets successively larger, and the various errors that we explored in Chapter 8, Cleaning Up Your Quantum Act with Ignis, start to dominate.

In this chapter, we will cover the following recipes:

  • Exploring quantum phase kickback
  • A quick interlude on classical search
  • ...
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