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

The challenges of today's classical computers

The previous section demonstrated that researchers have always wanted computing capabilities to be as energy-efficient and portable as possible, which we can see through microprocessor companies such as Intel who keep shrinking the size of the processor and try to squeeze in as many transistors as possible in a small area of a chip with less heat dissipation. However, this brings a challenge: with a small scale of transistors, the phenomenon of quantum mechanics starts to dominate!

Because of the phenomenon of quantum mechanics, the classical computation process starts to give inaccurate results, as well as the fabrication of silicon chips being hindered.

According to Moore's law, originating in 1965, it is predicted that the number of transistors in new electronic chips would double every 2 years.

The semiconductor chip fabrication is certainly facing a physical limit when it comes to building more miniaturized microchips...