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Programming Quantum Computers Essential Algorithms and Code Samples (Early Release) - Eric R. Johnston, Nic Harrigan 2019 (Second release) PDF | DJVU O’Reilly Media, Inc. BOOKS PROGRAMMING
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Programming Quantum Computers Essential Algorithms and Code Samples (Early Release)
Author: Eric R. Johnston, Nic Harrigan
Year: 2019 (Second release)
Pages: 93
Format: PDF | DJVU
File size: 10.1 MB
Language: ENG



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Book Description: Programming Quantum Computers: Essential Algorithms and Code Samples (Early Release) Authors: [List the names of the authors] Publication Date: [Insert date] Pages: [Insert number of pages] Publisher: [Insert name of publisher] Summary: Quantum computers are no longer theoretical devices; they are now a reality, and their potential applications are vast and diverse. This book is a hands-on programmer's guide to using quantum computing technology to solve real-world problems. It provides essential algorithms and code samples to help domain experts experiment with this new technology and discover new applications for quantum computing. The authors believe that the best uses for quantum computing are not necessarily discovered by its inventors but by those who can adapt it to their specific needs. The book is divided into four parts: Part I: Introduction to Quantum Computing * Provides an overview of quantum computing, including its history, principles, and current state-of-the-art techniques. * Introduces the basic concepts and tools needed to program quantum computers. Part II: Quantum Algorithms and Their Applications * Presents a variety of quantum algorithms, such as Shor's algorithm, Grover's algorithm, and quantum simulation, and discusses their applications in cryptography, optimization, and machine learning.
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Programming Quantum Computers: Essential Algorithms and Code Samples (Early Release)著者:[著者の名前を一覧表示]公開日:[挿入日時]ページ:[ページ数を挿入]発行者:[発行者の名前を挿入]理論的なデバイス;彼らは今、現実であり、潜在的なアプリケーションは広大で多様です。この本は、量子コンピューティング技術を使用して現実世界の問題を解決するためのプログラマの実用的なガイドです。これは、研究専門家がこの新しい技術を実験し、量子コンピューティングのための新しいアプリケーションを発見するのを助けるための基本的なアルゴリズムとコードサンプルを提供します。著者たちは、量子コンピューティングの最良の用途は、必ずしも発明者によって発見されたものではなく、特定のニーズに合わせることができる人々によって発見されたものであると考えている。パートI:量子コンピューティングの紹介*量子コンピューティングの歴史、原理、現在の最先端の方法など、量子コンピューティングの概要を紹介します。Part II:量子アルゴリズムとその応用*Shoreのアルゴリズム、Groverのアルゴリズム、量子モデリングなどの様々な量子アルゴリズムを紹介し、暗号、最適化、機械学習におけるそれらの応用について議論する。

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