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)
1
Section 1: Essential Background and Introduction to Quantum Computing
6
Section 2: Challenges in Quantum Programming and Silq Programming
10
Section 3: Quantum Algorithms Using Silq Programming
14
Section 4: Applications of Quantum Computing

Understanding quantum error correction

In this section, we are going to introduce three error-correcting codes for quantum computation and their implementation in Silq: bit-flip code, phase-flip code, and Shor code. These codes are essential because qubits are particularly prone to errors as they are inherently fragile. Whether the qubits suffer from unexpected decoherence or go through faulty quantum gates, quantum computation is not reliable, and one goal of quantum error correction is to achieve fault-tolerance.

At first glance, it seems that mirroring classical error correction by adding redundancy to our system is doomed to fail because the no-cloning theorem prevents us from copying a given quantum state. However, we will see that with entanglement, it is possible to encode the information in one qubit into a state of several qubits in order to detect and correct errors.

Working with bit-flip code

We will start by introducing bit-flip code. This is a quantum error-correcting...