Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Learn Quantum Computing with Python and IBM Quantum

You're reading from   Learn Quantum Computing with Python and IBM Quantum Write your own practical quantum programs with Python

Arrow left icon
Product type Paperback
Published in Feb 2025
Publisher Packt
ISBN-13 9781803244808
Length 420 pages
Edition 2nd Edition
Arrow right icon
Author (1):
Arrow left icon
Robert Loredo Robert Loredo
Author Profile Icon Robert Loredo
Robert Loredo
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Exploring the IBM Quantum Tools 2. Creating Quantum Circuits with IBM Quantum Composer FREE CHAPTER 3. Introducing and Installing Qiskit 4. Understanding Basic Quantum Computing Principles 5. Understanding the Qubit 6. Understanding Quantum Logic Gates 7. Programming with Qiskit 8. Optimizing and Visualizing Quantum Circuits 9. Simulating Quantum Systems and Noise Models 10. Suppressing and Mitigating Quantum Noise 11. Understanding Quantum Algorithms 12. Applying Quantum Algorithms 13. Understanding Quantum Utility and Qiskit Patterns 14. Other Book You May Enjoy 15. Index
Appendix A: Resources 1. Appendix B: Assessments

Summary

In this chapter, you learned about the IBM Quantum Composer and its many components. You created an experiment that simulated a classic NOT gate. You then viewed the results on a histogram, and read the probabilities based on the results.

This has provided you with the skills to experiment with other gates to see what effect each operation has on each qubit and what information might be determined or used based on the results of the operation. This will be helpful when we look at some of the quantum algorithms and how these operations are leveraged to solve certain problems.

In the next set of chapters, we will move away from the click-and-drag work of the UI and instead create experiments using Jupyter Notebook, as well as beginning to program quantum circuits using Python.

You have been reading a chapter from
Learn Quantum Computing with Python and IBM Quantum - Second Edition
Published in: Feb 2025
Publisher: Packt
ISBN-13: 9781803244808
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime