Quantum Algorithms for Enhancing Cybersecurity in Computational Intelligence in Healthcare
暫譯: 量子演算法在醫療計算智能中增強網路安全性

這本書探討了量子計算這一令人興奮的領域，這一領域正在改變我們對計算的看法。書中涵蓋了基礎知識、網絡安全方面、先進的機器學習技術以及量子計算的多種應用方式。量子計算的能力遠超傳統計算。書籍首先解釋了核心概念，如量子位（qubits）、量子閘（quantum gates）、疊加（superposition）、糾纏（entanglement）、量子記憶（quantum memory）和量子平行性（quantum parallelism）。一個重要的領域是量子計算如何改善網絡安全的機器學習。它能處理大量數據，並比普通計算機更快地找到複雜的模式。這對於實時發現網絡威脅特別有用，例如在醫療網絡中發現異常活動，這可能意味著安全漏洞。量子機器學習可以幫助醫療機構更好地防禦試圖竊取病人數據的先進網絡攻擊。書中還探討了量子計算如何改變網絡安全本身。

它討論了量子密碼學（quantum cryptography）、後量子密碼學（post-quantum cryptography）和安全通信，解釋了量子計算如何引領數據加密、新的威脅檢測和信息保護方式。除了網絡安全，這本書還展示了量子計算如何影響許多其他領域，如醫學、金融、材料科學和物流。它有望在醫療保健和許多其他行業中徹底改變人工智慧（AI）。由於量子計算不斷發展，隨著發現和應用的持續出現，這本書匯集了來自大學和行業的研究人員，分享他們的最新研究成果。它旨在幫助塑造這項技術的未來。書中提供了堅實的基礎、對先進技術的詳細解釋，以及量子計算在現實世界中的應用的迷人視角。隨著量子計算通過新工具和雲平台變得更易於訪問，這本書希望能激發人工智慧的新研究，並引發以前被認為不可能的創新應用。

Prateek Singhal is an Assistant Professor in the Department of Computer Science and Engineering at Christ (Deemed University), Delhi-NCR. He is pursuing a Ph.D. in Medical Imaging at the Maharishi University of Information Technology in Lucknow, India. He has almost five years of experience doing research and teaching. He has published multiple research articles in SCI/SCIE/Scopus publications and has spoken at prestigious conferences. His research and scholarly activities centre on the interface of machine learning, artificial intelligence, and healthcare applications. His works include several forms, including journal articles, book chapters, and novels, displaying a dedication to sharing research findings with both academic and general audiences. Singhal's work on using AI and machine learning approaches to analyse medical images has been highlighted in several publications. He holds several national and international patents, some of which are awarded. He has contributed to IEEE and Elsevier, among other publications. He serves on the scientific advisory committee at his current institute. His current interests include image processing, medical imaging, human-computer interfaces, neurocomputing, and the Internet of Things.

Pramod Kumar Mishra is working as a Head and Professor in the Department of Computer Science & Engineering at Banaras Hindu University, Varanasi. He has completed a Ph.D. degree in A study of an efficient shortest path algorithms for serial and parallel computers from APS University, Rewa, India. He has more than thirty years of experience in research and teaching. He has received various Awards and fellowships from well-reputed organisations. He has also received various grants from national and international government bodies/agencies. He has published several research articles in SCI/SCIE/Scopus journals and at conferences of high repute. He has also authored a book on Cloud Computing. He has various National and international patents, and some are granted. He has made contributions to IEEE, Elsevier, etc.. He is on the research advisory team in his present institute. His current areas of interest include AI and Machine Learning Algorithms, Data Analytics, Parallel Computing, High-Performance Clusters, Algorithm Engineering (AE), High-Performance AE, Parallel Computation, and Computational Complexity.

Mokhtar Mohammed Hasan is a Lecturer in the Computer Science Department at the College of Science for Women, University of Baghdad, a position he has held since 2003. He earned his B.Sc. and M.Sc. degrees in Computer Science from Baghdad University, achieving top rankings in both programs. He furthered his education by obtaining a Ph.D. in Computer Science from Banaras Hindu University, India, also graduating first in his class. His work spans a range of topics within computer science, including password security using neural networks, automatic block selection for texture image synthesis using genetic algorithms, and applying Quran security and Hamming codes for text modification prevention. He has also extensively researched gesture recognition systems, exploring various techniques like HSV brightness factor matching, scaled normalisation, and geometric feature analysis. His work in this area has been published in international journals such as the International Journal of Image Processing and the International Journal of Computer Science & Information Technology. More recently, his research has extended to areas like deep learning for disease distinction and blockchain-based student information management systems, with publications in AIP Conference Proceedings and Lecture Notes on Data Engineering and Communications Technologies. His publications demonstrate a sustained contribution to the field of computer science, with a particular focus on image processing, pattern recognition, and security.

**Prateek Singhal** 是德里-國家首都區基督（被認可大學）計算機科學與工程系的助理教授。他正在印度勒克瑙的馬哈里希信息技術大學攻讀醫學影像學的博士學位。他擁有近五年的研究和教學經驗，並在SCI/SCIE/Scopus期刊上發表了多篇研究文章，並在多個知名會議上發表演講。他的研究和學術活動集中在機器學習、人工智慧與醫療應用的交界處。他的作品包括期刊文章、書籍章節和小說，展現了他對於與學術界和一般讀者分享研究成果的熱忱。Singhal在使用AI和機器學習方法分析醫學影像方面的工作已在多個出版物中受到關注。他擁有多項國內和國際專利，其中一些已獲得授權。他曾為IEEE和Elsevier等出版物做出貢獻，並在目前的機構擔任科學諮詢委員會成員。他目前的研究興趣包括影像處理、醫學影像、人機介面、神經計算和物聯網。

**Pramod Kumar Mishra** 擔任瓦拉納西的班納拉斯印度大學計算機科學與工程系的系主任及教授。他在印度瑞瓦的APS大學完成了關於串行和並行計算機的高效最短路徑算法的博士學位。他擁有超過三十年的研究和教學經驗，並獲得了多個知名機構的獎項和獎學金。他還獲得了來自國內和國際政府機構的各種資助。他在SCI/SCIE/Scopus期刊和高聲望的會議上發表了多篇研究文章，並著有一本關於雲計算的書籍。他擁有多項國內和國際專利，其中一些已獲得授權。他為IEEE、Elsevier等做出了貢獻，並在目前的機構擔任研究諮詢團隊成員。他目前的研究興趣包括AI和機器學習算法、數據分析、並行計算、高性能集群、算法工程（AE）、高性能AE、並行計算和計算複雜性。

**Mokhtar Mohammed Hasan** 自2003年以來擔任巴格達大學科學學院計算機科學系的講師。他在巴格達大學獲得計算機科學的學士和碩士學位，並在兩個課程中均名列前茅。他進一步在班納拉斯印度大學獲得計算機科學的博士學位，同樣以班上第一的成績畢業。他的工作涵蓋計算機科學的多個主題，包括使用神經網絡的密碼安全、基於遺傳算法的紋理圖像合成自動區塊選擇，以及應用可蘭經安全和漢明碼防止文本修改。他還廣泛研究了手勢識別系統，探索了HSV亮度因子匹配、縮放正規化和幾何特徵分析等各種技術。他在這一領域的工作已發表在《國際影像處理期刊》和《國際計算機科學與信息技術期刊》等國際期刊上。最近，他的研究擴展到深度學習在疾病區分和基於區塊鏈的學生信息管理系統等領域，並在AIP會議論文集和數據工程與通信技術講義中發表。其出版物顯示了他對計算機科學領域的持續貢獻，特別專注於影像處理、模式識別和安全性。