Quantum Computing with Silq Programming
Language: English
Published by Packt Publishing Limited, 2021
- Softcover
- New
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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Condition: New
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Seller Inventory # L0-9781800569669
- Title
- Quantum Computing with Silq Programming
- Author
- Srinjoy Ganguly
- Publisher
- Packt Publishing Limited
- Publication year
- 2021
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 10
- 1800569661
- ISBN 13
- 9781800569669
- Item weight
- 100 grams
Learn the mathematics behind quantum computing and explore the high-level quantum language Silq to take your quantum programming skills to the next level
Key Features
- Harness the potential of quantum computers more effectively using Silq
- Learn how to solve core problems that you may face while writing quantum programs
- Explore useful quantum applications such as cryptography and quantum machine learning
Book Description
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.
What you will learn
- Identify the challenges that researchers face in quantum programming
- Understand quantum computing concepts and learn how to make quantum circuits
- Explore Silq programming constructs and use them to create quantum programs
- Use Silq to code quantum algorithms such as Grover's and Simon’s
- Discover the practicalities of quantum error correction with Silq
- Explore useful applications such as quantum machine learning in a practical way
Who this book is for
This Silq quantum computing book is for students, researchers, and scientists looking to learn quantum computing techniques and software development. Quantum computing enthusiasts who want to explore this futuristic technology will also find this book useful. Beginner-level knowledge of any programming language as well as mathematical topics such as linear algebra, probability, complex numbers, and statistics is required.
Table of Contents
- Essential Mathematics and Algorithmic Thinking
- Quantum Bits, the Quantum Measurements, and Quantum Logic Gates
- Multiple Quantum Bits, Entanglement, and Quantum Circuits
- Physical Realization of a Quantum Computer
- Challenges in Quantum Computer Programming
- Silq Programming Basics and Features
- Programming Multiple Qubit Quantum Circuits with Silq
- Quantum Algorithms I - Deutsch-Jozsa and Bernstein-Vazirani
- Quantum Algorithms II - Grover’s Search Algorithm and Simon’s Algorithm
- Quantum Algorithms III: Quantum Fourier Transform and Phase Estimation
- Quantum Error Correction
- Quantum Cryptography: Quantum Key Distribution (QKD)
- Quantum Machine Learning
"Synopsis" may belong to another edition of this title.
About the Author
Srinjoy Ganguly is the founder and CEO of AdroitERA, an EdTech firm, and possesses a Master's in quantum computing technology from the Technical University of Madrid, and a Master's in artificial intelligence from the University of Southampton. He has over 4 years' experience in quantum computing and 5 years' experience in machine learning and deep learning. He currently leads the Quantum Machine Learning (QML) study space at QWorld. He has given an expert talk on QML at IEEE SPS. His research interests include QML, Quantum Image Processing, Quantum Natural Language Processing (QNLP), machine learning, and deep learning.
Thomas Cambier is a French programmer and software developer. After studying top-level mathematics, physics, and computer science at Ecole Polytechnique, France's leading engineering school, he obtained a Master's degree in computer science at ETH Zürich on a broad range of subjects going from algorithmics and cryptography to object-oriented programming. Deeply interested in the promising possibilities resulting from quantum computing, he wrote his Master's thesis on the design of quantum algorithms with Silq, a brand-new high-level quantum language created by a research group at ETH Zürich.
"About the title" may belong to another edition of this title.
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Wood Dale, IL, U.S.A.
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