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

Implementing the Bernstein-Vazirani algorithm

The Bernstein-Vazirani algorithm refers to a quantum algorithm designed by Ethan Bernstein and Umesh Vazirani in 1992. In the same way as the Deutsch-Jozsa algorithm, its goal is to demonstrate that with some categories of problems, quantum algorithms provide an advantage over classical ones.

In this section, you will learn how to solve the Bernstein-Vazirani problem theoretically both in a classical and in a quantum way. You will then practically implement a quantum algorithm solving that problem while gaining intuition on some of Silq's core features.

Problem statement

Let's start with the definition of the problem solved by the Bernstein-Vazirani algorithm. The objective is to determine the value of a secret string encoded within a function, , passed as input. We know that f is a function taking as input an n-bit integer and returning its dot product (modulo 2) with some unknown string, . In other words, we have for...