Machine Learning with Quantum Computers (Paperback)
暫譯: 量子電腦的機器學習 (平裝本)

Schuld, Maria, Petruccione, Francesco

Machine Learning with Quantum Computers (Paperback)

相關主題

商品描述

This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards.

The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.

 

商品描述(中文翻譯)

本書介紹了量子機器學習研究，涵蓋了從「近期」到容錯量子機器學習演算法的各種方法，以及從理論到實踐的技術，幫助我們理解量子電腦如何從數據中學習。討論的主題包括參數化量子電路、混合優化、數據編碼、量子特徵映射和核方法、量子學習理論，以及量子神經網絡。本書的目標讀者為研究生及以上層級的計算機科學家和物理學家。

第二版擴展了材料，超越了監督式學習，特別關注過去幾年在近期量子機器學習方面的發展。

作者簡介

Maria Schuld works as a researcher for the Toronto-based quantum computing start-up Xanadu. She received her Ph.D. from the University of KwaZulu-Natal in 2017, where she began working on the intersection between quantum computing and machine learning in 2013. Besides her numerous contributions to the field, she is a co-developer for the open-source quantum machine learning software framework PennyLane.

 

Francesco Petruccione received his Ph.D. (1988) and "Habilitation" (1994) from the University of Freiburg, Germany. Since 2004, he has been a professor of Theoretical Physics at the University of KwaZulu-Natal in Durban, South Africa, where in 2007, he was granted a South African Research Chair for Quantum Information Processing and Communication. He is the co-author of "The Theory of Open Quantum Systems" (Oxford University Press, 2002) and has published more than 250 papers in refereed journals. Francesco Petruccione's research focuses on open quantum systems and quantum information processing and communication.

 

 

 

作者簡介(中文翻譯)

Maria Schuld 在位於多倫多的量子計算初創公司 Xanadu 擔任研究員。她於 2017 年獲得了來自夸祖魯-納塔爾大學的博士學位，並在 2013 年開始研究量子計算與機器學習的交集。除了對該領域的眾多貢獻外，她還是開源量子機器學習軟體框架 PennyLane 的共同開發者。

Francesco Petruccione 於 1988 年和 1994 年分別獲得德國弗賴堡大學的博士學位和「Habilitation」。自 2004 年以來，他一直擔任南非夸祖魯-納塔爾大學的理論物理學教授，並於 2007 年獲得南非量子資訊處理與通信研究主席。他是《開放量子系統理論》（Oxford University Press, 2002）的共同作者，並在同行評審的期刊上發表了超過 250 篇論文。Francesco Petruccione 的研究重點是開放量子系統以及量子資訊處理與通信。

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