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 8: Quantum Algorithms I – Deutsch-Jozsa and Bernstein-Vazirani

The Deutsch-Jozsa and Bernstein-Vazirani algorithms are two long-established examples that illustrate that quantum algorithms can be exponentially faster than classical ones in certain kinds of problems. In this chapter, we will use these algorithms to showcase basic features of Silq implementation, such as variable assignment, state superposition, controlled application and measurement, as well as safe uncomputation: one of the key concepts of the Silq language.

In this chapter, we are going to cover the following main topics:

  • Quantum parallelism and interference
  • The Deutsch-Jozsa algorithm – classical and quantum solutions along with the Silq implementation
  • The Bernstein-Vazirani algorithm – classical and quantum solutions along with the Silq implementation

You will learn how to implement two basic algorithms in Silq and this will help you to gain intuition on how...