Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
暫譯: 使用 Python 的量子機器學習：結合 Google Research 的 Cirq 與 IBM Qiskit

Pattanayak, Santanu

Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
  • 出版商: Apress
  • 出版日期: 2021-03-13
  • 售價: $1,600
  • 貴賓價: 9.5 折 $1,520
  • 語言: 英文
  • 頁數: 359
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484265211
  • ISBN-13: 9781484265215
  • 相關分類: Python、程式語言、Machine Learning、量子 Quantum

    • 立即出貨 (庫存=1)

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商品描述

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting, financial modeling, genomics, cybersecurity, supply chain logistics, cryptography among others.
You'll start by reviewing the fundamental concepts of Quantum Computing, such as Dirac Notations, Qubits, and Bell state, followed by postulates and mathematical foundations of Quantum Computing. Once the foundation base is set, you'll delve deep into Quantum based algorithms including Quantum Fourier transform, phase estimation, and HHL (Harrow-Hassidim-Lloyd) among others.
You'll then be introduced to Quantum machine learning and Quantum deep learning-based algorithms, along with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations of different Quantum machine learning and Quantum computing algorithms using the Qiskit toolkit from IBM and Cirq from Google Research.
What You'll Learn

  • Understand Quantum computing and Quantum machine learning
  • Explore varied domains and the scenarios where Quantum machine learning solutions can be applied
  • Develop expertise in algorithm development in varied Quantum computing frameworks
  • Review the major challenges of building large scale Quantum computers and applying its various techniques

Who This Book Is For
Machine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning

 

商品描述(中文翻譯)

快速掌握量子計算和量子機器學習的基礎知識及相關數學，並了解可以通過量子算法解決的不同應用案例。本書解釋了量子計算，該技術利用了亞原子粒子的量子力學特性。它還探討了量子機器學習，這可以幫助解決一些在預測、金融建模、基因組學、網絡安全、供應鏈物流、密碼學等領域中最具挑戰性的問題。

您將首先回顧量子計算的基本概念，例如狄拉克符號（Dirac Notations）、量子位（Qubits）和貝爾態（Bell state），接著學習量子計算的公理和數學基礎。一旦基礎建立，您將深入研究基於量子的算法，包括量子傅立葉變換（Quantum Fourier transform）、相位估計（phase estimation）和HHL（Harrow-Hassidim-Lloyd）等。

然後，您將接觸到量子機器學習和基於量子深度學習的算法，以及量子絕熱過程（Quantum adiabatic processes）和基於量子的優化（Quantum based optimization）等進階主題。在整本書中，使用IBM的Qiskit工具包和Google Research的Cirq進行不同量子機器學習和量子計算算法的Python實現。

您將學到什麼


  • 理解量子計算和量子機器學習

  • 探索不同領域及量子機器學習解決方案可以應用的場景

  • 在各種量子計算框架中發展算法開發的專業知識

  • 回顧構建大規模量子計算機及應用其各種技術的主要挑戰

本書適合誰

對機器學習感興趣的愛好者和工程師，想要快速掌握量子機器學習。

作者簡介

Santanu Pattanayak works as a staff machine learning specialist at Qualcomm Corp R&D and is an author of the book "Pro Deep Learning with TensorFlow" published by Apress. He has around 12 years of work experience and has worked at GE, Capgemini, and IBM before joining Qualcomm. He graduated with a degree in electrical engineering from Jadavpur University, Kolkata and is an avid math enthusiast. Santanu has a master's degree in data science from Indian Institute of Technology (IIT), Hyderabad. He also participates in Kaggle competitions in his spare time where he ranks in top 500. Currently, he resides in Bangalore with his wife.

作者簡介(中文翻譯)

Santanu Pattanayak 目前在高通公司 (Qualcomm Corp) 的研發部門擔任機器學習專家，並且是 Apress 出版的書籍《Pro Deep Learning with TensorFlow》的作者。他擁有約 12 年的工作經驗，曾在通用電氣 (GE)、凱捷 (Capgemini) 和 IBM 工作，之後加入高通。他畢業於印度加爾各答的賈達夫普大學 (Jadavpur University)，獲得電機工程學位，並且對數學充滿熱情。Santanu 擁有印度理工學院海得拉巴分校 (Indian Institute of Technology, IIT) 的數據科學碩士學位。在空閒時間，他也參加 Kaggle 比賽，並在前 500 名中名列前茅。目前，他與妻子居住在班加羅爾 (Bangalore)。

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