Book Image

Quantum Computing Algorithms

By : Barry Burd
5 (1)
Book Image

Quantum Computing Algorithms

5 (1)
By: Barry Burd

Overview of this book

Navigate the quantum computing spectrum with this book, bridging the gap between abstract, math-heavy texts and math-avoidant beginner guides. Unlike intermediate-level books that often leave gaps in comprehension, this all-encompassing guide offers the missing links you need to truly understand the subject. Balancing intuition and rigor, this book empowers you to become a master of quantum algorithms. No longer confined to canned examples, you'll acquire the skills necessary to craft your own quantum code. Quantum Computing Algorithms is organized into four sections to build your expertise progressively. The first section lays the foundation with essential quantum concepts, ensuring that you grasp qubits, their representation, and their transformations. Moving to quantum algorithms, the second section focuses on pivotal algorithms — specifically, quantum key distribution and teleportation. The third section demonstrates the transformative power of algorithms that outpace classical computation and makes way for the fourth section, helping you to expand your horizons by exploring alternative quantum computing models. By the end of this book, quantum algorithms will cease to be mystifying as you make this knowledge your asset and enter a new era of computation, where you have the power to shape the code of reality.
Table of Contents (19 chapters)
Free Chapter
Part 1 Nuts and Bolts
Part 2 Making Qubits Work for You
Part 3 Quantum Computing Algorithms
Part 4 Beyond Gate-Based Quantum Computing

Matrices in Python

Doing matrix operations by hand is tedious and error-prone, but you don’t have to do everything by hand. This section describes a nice alternative:

  1. If you haven’t already done so, follow steps 1 to 3 at the beginning of this chapter’s Jupyter notebooks section.
  2. In the upper-left corner of the page, click the New File button.
  3. In the resulting Launcher tab, click the Notebook | Qiskit button.

A new, empty Jupyter/Python notebook appears.

  1. In the empty cell, near the top of the notebook, type the following code, and then press Shift+Enter:
    import numpy as np

No output shows up on the screen, but behind the scenes, this statement makes a library named NumPy available to the code in your notebook. As the name suggests, NumPy deals with numbers and other mathematical concepts. From this point on, your code uses np as a nickname for NumPy.

Important note

The previous section (Copying this book’s code...