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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

Running Shor's algorithm as an Aqua function

Another one of the real luminaries of quantum computing algorithms is Peter Shor's algorithm dating back to 1984, in which he proved that with a sufficiently powerful quantum computer, you can prime factorize really large integers. This is important not only from an academic point of view but also because, for example, factorizing really large (thousands of digits) numbers into constituent prime numbers is the core behind today's RSA encryption that is used to secure online transactions, from banking and social media to the computers built into your car.

At the point when these sufficiently large quantum computers enter the stage, crypto keys that would take weeks, months, years, and longer to break can theoretically be broken in a matter of minutes.

To level-set our expectations here, running Shor's algorithm on today's NISQ machines is more of an academic interest. As you will notice, the Shor circuits tend...

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