Book Image

Quantum Computing with Silq Programming

By : Srinjoy Ganguly, Thomas Cambier
Book Image

Quantum Computing with Silq Programming

By: Srinjoy Ganguly, Thomas Cambier

Overview of this book

Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You’ll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you’ll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you’ll discover how to optimize the programming of quantum computers with the simple Silq. By the end of this Silq book, you’ll have mastered the features of Silq and be able to build efficient quantum applications independently.
Table of Contents (19 chapters)
Section 1: Essential Background and Introduction to Quantum Computing
Section 2: Challenges in Quantum Programming and Silq Programming
Section 3: Quantum Algorithms Using Silq Programming
Section 4: Applications of Quantum Computing

Chapter 3: Multiple Quantum Bits, Entanglement, and Quantum Circuits

In our day-to-day life, we often use multiple attributes of data and situations. For example, a weather forecast system could predict multiple features, such as air pressure in a region, previous rainfall patterns, thunderstorms, and so on. This often requires working with multiple qubits rather than a single qubit to accurately model the scenario. The presence of multiple features is true for many other applications in real life.

In this chapter, you will dive into the basics of multiple qubit quantum computing and learn about entanglement, one of its most useful features. We will also cover the construction of quantum circuits using multiple and single qubit quantum logic gates. Here is a list of topics that we are going to cover in this chapter:

  • Introducing multiple quantum bits
  • The wonder of quantum entanglement
  • Exploring multi-qubit quantum logic gates
  • Quantum teleportation
  • Quantum...