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Dancing with Qubits - Second Edition

You're reading from  Dancing with Qubits - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636754
Pages 684 pages
Edition 2nd Edition
Languages
Author (1):
Robert S. Sutor Robert S. Sutor
Profile icon Robert S. Sutor

Table of Contents (26) Chapters

Preface I Foundations
Why Quantum Computing They’re Not Old, They’re Classics More Numbers Than You Can Imagine Planes and Circles and Spheres, Oh My Dimensions 6 What Do You Mean “Probably”? II Quantum Computing
One Qubit Two Qubits, Three Wiring Up the Circuits From Circuits to Algorithms Getting Physical III Advanced Topics
Considering NISQ Algorithms Introduction to Quantum Machine Learning Questions about the Future Afterword
A Quick Reference B Notices C Production Notes Other Books You May Enjoy
References
Index
Appendices

10.1 Quantum Fourier Transform

The Quantum Fourier Transform (QFT) is widely used in quantum computing. We need it in this chapter to estimate eigenvalues via the function order and period finding algorithm in section 10.5. We then use that in Shor’s factoring algorithm in section 10.7. If that weren’t enough, the Hadamard H is the 1-qubit QFT, and we’ve seen many examples of its use. algorithm$Quantum Fourier Transform Quantum Fourier Transform

Other applications of the QFT include quantum Monte Carlo, 77 and the Harrow-Hassidim-Loyd (HHL) algorithm for solving systems of linear equations under restrictive conditions. 105 63 algorithm$Monte Carlo Monte Carlo algorithm algorithm$Harrow-Hassidim-Loyd Harrow-Hassidim-Loyd algorithm algorithm$HHL HHL algorithm

Most treatments of the QFT start by comparing it to the classical Discrete Fourier Transform and then the Fast Fourier Transform. If you don’t know either of these, don’t worry...

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