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

Grover's search for an unknown number of solutions using Silq programming

Grover's search for one solution and multiple solutions was fairly straightforward to understand and implement using the Silq programming language. However, there are cases where we are not sure of the number of solutions that we want to search for and we want our Grover's algorithm to search for those unknown number of solutions that we have in our mind. The case of finding an unknown number of solutions is a bit of a complex task and we will be implementing an algorithm for this purpose.

Due to the complex nature of the mathematical segment for this section, we recommend you go through the resources mentioned in the Further reading section, which will give you an idea of the mathematics behind the unknown number of solutions problem. The algorithm that we will be implementing is provided in Figure 9.4:

Figure 9.4 – Grover's algorithm for an unknown number...