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

Low-level circuit programming of quantum computers

In the previous section, we saw the usefulness of HLLs for classical computers, which use a compiler or interpreter to take care of the translation of high-level code into machine code. We also saw that larger programs, such as software or computer applications, will be very difficult to write in low-level languages as the code becomes very complex and harder to understand.

As you know, quantum computing is currently in its early stages of development and the process that the field of quantum computing is going through is very similar to that of classical computing. Today, thanks to the HLLs of classical computing, we have software development kits available in classical HLLs that help us to program basic operations on quantum computers. Some of the prominent examples of these kits are Microsoft Q#, IBM Qiskit, and Google Cirq, which will be discussed in the next section.

Most of the programming for quantum computing is done...