Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Dancing with Qubits
  • Table Of Contents Toc
Dancing with Qubits

Dancing with Qubits - Second Edition

By : Robert S. Sutor
5 (23)
close
close
Dancing with Qubits

Dancing with Qubits

5 (23)
By: Robert S. Sutor

Overview of this book

Dancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you. This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning. Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.
Table of Contents (26 chapters)
close
close
1
I Foundations
8
II Quantum Computing
14
III Advanced Topics
18
Afterword
22
Other Books You May Enjoy
23
References
24
Index
1
Appendices

5.3 Linear maps

We’ve looked at linear functions several times to get a concrete idea of how they work. We must generalize this idea to vector spaces.

Let U and V be vector spaces over the same field F. Let u1 and u2 be in U and s1 and s2 be scalars in F.

The function L: UV is a linear map if

Displayed math

In particular, we have

Displayed math

When U = V, we also say L is a linear transformation of U or a linear operator on U. linear$map linear$transformation linear$operator

All linear transformations on R2 look like

Displayed math

using Cartesian coordinates, and with a, b, c, d, x, and y in R. This is interesting because the linear transformations on R1 all look like the somewhat trivial xax.

Exercise 5.2

Show that the function

Displayed math

for a, b, c, d, x, and y in C is a linear transformation of C2.

The linear transformations on R3...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Dancing with Qubits
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon