Quantum Computing from Hopfield Nets: A Textbook with Python Code Examples
暫譯: 量子計算與霍普菲爾德網絡：含 Python 代碼範例的教科書

Christian Bauckhage is a Professor for Intelligent Learning Systems at the University of Bonn, Lead Scientist for Machine Learning at Fraunhofer IAIS, and co-director of The Lamarr Institute for Machine Learning and Artificial Intelligence. His experience in the fields of Data Science and Artificial Intelligence results from more than 20 years of applied and basic research in industry and academia. Currently, Prof. Bauckhage is largely concerned with the topic of Quantum Computing and the possibilities created by quantum computers to tackle previously almost unsolvable processes in Artificial Intelligence and Machine Learning. Since he has a background in computer science and theoretical physics, his lectures on quantum computing frequently combine both perspectives.

Rafet Sifa is a Professor for Applied Machine Learning at the University of Bonn and Head of the Hybrid Intelligence Department at Fraunhofer IAIS. His current research focuses on hybrid, interpretable, and resource-aware learning systems for text mining, behavioural analytics, digital forensics, and medical informatics. Prof. Sifa has more than 15 years of experience with the development and deployment of machine learning models for real-world applications at scale. His research on quantum computing solutions is motivated by practical problems in business optimization, finance, and accounting.

Christian Bauckhage 是波恩大學智能學習系統的教授，Fraunhofer IAIS 的機器學習首席科學家，以及拉馬爾機器學習與人工智慧研究所的共同主任。他在數據科學和人工智慧領域的經驗來自於超過 20 年的應用和基礎研究，涵蓋產業和學術界。目前，Bauckhage 教授主要關注量子計算的主題，以及量子電腦所創造的可能性，以解決在人工智慧和機器學習中幾乎無法解決的過程。由於他擁有計算機科學和理論物理的背景，他的量子計算講座經常結合這兩個視角。

Rafet Sifa 是波恩大學應用機器學習的教授，並擔任 Fraunhofer IAIS 混合智能部門的負責人。他目前的研究專注於用於文本挖掘、行為分析、數位取證和醫療資訊學的混合、可解釋和資源感知的學習系統。Sifa 教授在開發和部署大規模實際應用的機器學習模型方面擁有超過 15 年的經驗。他對量子計算解決方案的研究受到商業優化、金融和會計等實際問題的驅動。