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Quantum Computing Algorithms

You're reading from  Quantum Computing Algorithms

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781804617373
Pages 342 pages
Edition 1st Edition
Languages
Author (1):
Barry Burd Barry Burd
Profile icon Barry Burd

Table of Contents (19) Chapters

Preface 1. Introduction to Quantum Computing 2. Part 1 Nuts and Bolts
3. Chapter 1: New Ways to Think about Bits 4. Chapter 2: What Is a Qubit? 5. Chapter 3: Math for Qubits and Quantum Gates 6. Chapter 4: Qubit Conspiracy Theories 7. Part 2 Making Qubits Work for You
8. Chapter 5: A Fanciful Tale about Cryptography 9. Chapter 6: Quantum Networking and Teleportation 10. Part 3 Quantum Computing Algorithms
11. Chapter 7: Deutsch’s Algorithm 12. Chapter 8: Grover’s Algorithm 13. Chapter 9: Shor’s Algorithm 14. Part 4 Beyond Gate-Based Quantum Computing
15. Chapter 10: Some Other Directions for Quantum Computing 16. Assessments 17. Index 18. Other Books You May Enjoy

Illustrating Shor’s algorithm with Qiskit code

In this section, we present two Qiskit programs. One program illustrates, in a straightforward manner, the application of Qiskit’s QFT function. The other uses special tricks to construct a circuit that scales for large numbers. Neither program implements Shor’s algorithm in complete detail.

Testing the QFT

We begin this example with the required import statements:

from qiskit import QuantumCircuit, Aer, executefrom qiskit.circuit.library import QFT
from qiskit.tools.visualization import plot_histogram
import numpy as np

With public key 15 and coprime 7, we create a vector containing eight values of 7n % 15:

public_key = 15coprime = 7
#coprime = 11
vector = []
for i in range(8):
    vector.append(coprime**i % public_key)
norm = np.linalg.norm(vector)
statevector = vector / norm
print('vector:')
print(vector)
print()
print('statevector:')
print(statevector)

The...

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