Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry
暫譯: 量子機器學習:應用方法:量子機器學習在科學與工業中的理論與應用

Santanu Ganguly

  • 出版商: Apress
  • 出版日期: 2021-07-30
  • 定價: $2,400
  • 售價: 8.0$1,920
  • 語言: 英文
  • 頁數: 551
  • 裝訂: Paperback
  • ISBN: 1484270975
  • ISBN-13: 9781484270974
  • 相關分類: Machine Learning量子 Quantum
  • 立即出貨 (庫存=1)

買這商品的人也買了...

商品描述

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.

The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost.

Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms.

The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author's active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples.

 

What You will Learn

  • Understand and explore quantum computing and quantum machine learning, and their application in science and industry
  • Explore various data training models utilizing quantum machine learning algorithms and Python libraries
  • Get hands-on and familiar with applied quantum computing, including freely available cloud-based access
  • Be familiar with techniques for training and scaling quantum neural networks
  • Gain insight into the application of practical code examples without needing to acquire excessive machine learning theory or take a quantum mechanics deep dive

 


Who This Book Is For
Data scientists, machine learning professionals, and researchers

 

 

商品描述(中文翻譯)

了解如何適應量子計算和機器學習演算法。本書帶您深入實作量子機器學習(QML),探索業界和研究中可用的各種選項。

前三章提供了量子力學科學與機器學習技術結合的見解,展示了經典資訊科技概念如何與物理的力量相遇。隨後的章節系統性地深入探討各種量子機器學習演算法、量子優化、高級 QML 演算法的應用(如量子 k-means、量子 k-medians、量子神經網絡等)、針對特定 QML 演算法的量子位狀態準備、推理、多項式哈密頓模擬等,最後介紹如量子隨機漫步、透過張量網絡的 QML 和 QBoost 等先進且最新的研究領域。

本書包含了當今業界和研究中常用的開源庫的實作練習,例如 Qiskit、Rigetti 的 Forest、D-Wave 的 dOcean、Google 的 Cirq 以及全新的 TensorFlow Quantum 和 Xanadu 的 PennyLane,並附有指導實作的說明。在適用的情況下,本書還分享了訪問量子計算和機器學習生態系統的各種選項,這些選項可能與特定演算法相關。

本書提供了一種實作導向的方法,使用更新的庫和演算法來探索這一新興領域的 QML。您將從具體的範例和對工具及概念的理解中受益,這些工具和概念有助於構建受量子計算生態系統推動的智能系統。本書利用作者在該領域的活躍研究,並附有不斷更新的網站,提供所有的程式碼範例。

 

您將學到什麼


  • 理解並探索量子計算和量子機器學習及其在科學和工業中的應用

  • 探索利用量子機器學習演算法和 Python 庫的各種數據訓練模型

  • 實作並熟悉應用量子計算,包括免費的雲端訪問

  • 熟悉訓練和擴展量子神經網絡的技術

  • 深入了解實用程式碼範例的應用,而無需獲得過多的機器學習理論或深入研究量子力學

 



本書適合誰閱讀

數據科學家、機器學習專業人士和研究人員

 

 

作者簡介

Santanu Ganguly has been working in the fields of quantum technologies, cloud computing, data networking, and security (on research, design, and delivery) for over 21 years. He works in Switzerland and the United Kingdom (UK) for various Silicon Valley vendors and ISPs. He has two postgraduate degrees (one in mathematics and another in observational astrophysics), and research experience and publications in nanoscale photonics and laser spectroscopy. He is currently leading global projects out of the UK related to quantum communication and machine learning, among other technologies.

作者簡介(中文翻譯)

Santanu Ganguly 在量子技術、雲端運算、數據網絡和安全領域(研究、設計和交付)工作超過21年。他在瑞士和英國(UK)為多家矽谷供應商和網際網路服務提供商(ISP)工作。他擁有兩個研究生學位(一個是數學,另一個是觀測天體物理學),並在納米尺度光子學和激光光譜學方面擁有研究經驗和出版物。他目前在英國領導與量子通信和機器學習等技術相關的全球項目。

最後瀏覽商品 (19)