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Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language Srinjoy Ganguly, Thomas Cambier

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Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language Srinjoy Ganguly, Thomas Cambier - okladka książki

Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language Srinjoy Ganguly, Thomas Cambier - okladka książki

Autorzy:
Srinjoy Ganguly, Thomas Cambier
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
310
Dostępne formaty:
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     ePub
     Mobi

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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.

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O autorach książki

Srinjoy Ganguly works as a quantum AI research scientist at Fractal Analytics. He has 4+ years of experience in quantum computing, and is an IBM Qiskit advocate and educator. He also teaches quantum computing at Woxsen University as a visiting professor. His research interests include QNLP, category theory with compositionality, variational quantum algorithms and their applications, and machine 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.

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