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

Jupyter notebooks

Jupyter notebooks are web-based environments for running code and displaying information about the code. To program quantum computers, we’ll create Jupyter notebooks that run Python programs with IBM’s Qiskit library functions.

To get started with Qiskit, follow these steps:

  1. Visit the quantum computing lab:
  2. Create an IBM account.
  3. Return to the quantum computing lab page:
  4. In the resulting Launcher tab, click on the Notebook | Python 3 (ipykernel) buttons:
Figure 1.21 – Creating a Qiskit notebook

Figure 1.21 – Creating a Qiskit notebook

A new Jupyter notebook appears. Near the top of the notebook, there’s an empty text field.

In the next section, you will populate that text field with Python code.

Creating and displaying values

A Jupyter notebook consists of cells. In a typical scenario, each cell contains a text field. You can type code...