Quantum Ops: Bridging Quantum Computing and It Operations
暫譯: 量子運營：連接量子計算與IT運營
Rana, Milankumar, Pandey, Bishwajeet
相關主題
商品描述
This book provides a thorough guide to Quantum Operations that closes the gap between quantum computing theory and practical IT operations. Through a variety of contributed chapters, the book addresses basic quantum ideas, programming languages, important algorithms, error correction, and cloud quantum services. This volume also examines some future directions, challenges, and opportunities in corporate quantum applications, security consequences, and quantum machine learning. Designed for IT experts, quantum researchers, and technology strategists, the book includes code samples and other practical insights that maximize the potential of quantum computing for next-generation IT operations and security. Those hoping to remain on top of quantum technology integration in business and technology infrastructure must read this book.
In addition, this book
- Enables organizations to implement quantum computing solutions in IT contexts
- Investigates the state and future of quantum Machine Learning applications
- Explores utility of quantum operations in enterprise environments
商品描述(中文翻譯)
這本書提供了一個全面的量子操作指南，彌補了量子計算理論與實際 IT 操作之間的差距。透過多篇貢獻章節，本書探討了基本的量子概念、程式語言、重要的演算法、錯誤修正以及雲端量子服務。本卷還考察了一些未來的方向、挑戰和企業量子應用中的機會、安全後果以及量子機器學習。這本書專為 IT 專家、量子研究人員和技術策略師設計，包含了程式碼範例和其他實用見解，最大化量子計算在下一代 IT 操作和安全中的潛力。希望在商業和技術基礎設施中保持量子技術整合領先地位的人必須閱讀這本書。
此外，這本書：
- 使組織能夠在 IT 環境中實施量子計算解決方案
- 探討量子機器學習應用的現狀和未來
- 探索量子操作在企業環境中的效用
作者簡介
Milankumar Rana has worked in cloud computing, software engineering, and data analytics for more than 13 years. He is a distinguished Software Engineer Advisor and Senior Cloud Engineer at FedEx. Starting at Neox Solutions Pvt LTD. in India, he created a Java-based network automation application that set the foundation for his knowledge of scalable cloud architectures. At FedEx, Rana has developed a hybrid edge-cloud artificial intelligence system combining federated learning with reinforcement learning to improve demand forecasting accuracy and cloud cost savings. Rana's main area of research interest is advancing cloud-native application development, artificial intelligence-driven data processing, and scalable, hybrid cloud systems. His future work aims to incorporate AIOps for automated infrastructure management, Quantum Ops for high-speed data processing, MLOps for enhanced model accuracy, and DevSecOps for robust security frameworks. Rana's work in cloud computing and data engineering and commitment to driving technological advancements in logistics and beyond demonstrate his ability to translating research into practical impact.
Dr. Bishwajeet Pandey is a Professor at GL Bajaj Institute of Technology and Management, Greater Noida, India. He has been a Senior Member of IEEE since 2019. He holds an MTech in CSE from the IIIT, Gwalior, India, and a Ph.D. in Computer Science from Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University Chandigarh, Jain University Bangalore, Astana IT University Kazakhstan, Eurasian National University Kazakhstan, Walsh College USA, and UCSI University Malaysia. Dr. Pandey is a prolific researcher, with 17 published books, 200+ Scopus- indexed research papers, and more than 4,100 citations. His leadership roles include serving as the Research Head of the School of CSE at Jain University Bangalore from 2021-2023 and as the head of the International Global Academic Partnership Committee at Birla Institute of Applied Science Bhimtal from 2020-2021. In 2023, Dr. Pandey was honored with the prestigious Professor of the Year Award at Lords Cricket Ground by the London Organisation of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co-authored papers with 218 professors from 93 universities across 42 nations.
作者簡介(中文翻譯)
Milankumar Rana 在雲端運算、軟體工程和數據分析方面擁有超過 13 年的工作經驗。他是 FedEx 的資深軟體工程顧問和高級雲端工程師。Rana 在印度的 Neox Solutions Pvt LTD. 開始他的職業生涯，創建了一個基於 Java 的網路自動化應用程式，為他對可擴展雲端架構的知識奠定了基礎。在 FedEx，Rana 開發了一個混合邊緣雲端人工智慧系統，結合了聯邦學習和強化學習，以提高需求預測的準確性和雲端成本的節省。Rana 的主要研究興趣在於推進雲原生應用程式開發、人工智慧驅動的數據處理以及可擴展的混合雲系統。他未來的工作目標是整合 AIOps 以實現自動化基礎設施管理、量子運算以進行高速數據處理、MLOps 以提高模型準確性，以及 DevSecOps 以建立穩健的安全框架。Rana 在雲端運算和數據工程方面的工作，以及他推動物流及其他領域技術進步的承諾，展現了他將研究轉化為實際影響的能力。
Dr. Bishwajeet Pandey 是印度大諾伊達 GL Bajaj 技術與管理學院的教授。他自 2019 年以來一直是 IEEE 的資深會員。他擁有印度 Gwalior 的 IIIT 獲得的計算機科學碩士學位 (MTech in CSE)，以及來自意大利 Gran Sasso 科學研究所的計算機科學博士學位 (Ph.D. in Computer Science)。他曾在多所知名機構任教，包括昌迪加爾的 Chitkara 大學、班加羅爾的 Jain 大學、哈薩克的阿斯塔納 IT 大學、哈薩克的歐亞國立大學、美國的 Walsh 大學以及馬來西亞的 UCSI 大學。Dr. Pandey 是一位多產的研究者，已發表 17 本書籍、200 多篇 Scopus 收錄的研究論文，並獲得超過 4,100 次引用。他的領導角色包括在 2021-2023 年擔任班加羅爾 Jain 大學計算機科學學院的研究負責人，以及在 2020-2021 年擔任比爾拉應用科學研究所的國際全球學術夥伴委員會負責人。2023 年，Dr. Pandey 在倫敦技能發展組織的 Lords Cricket Ground 獲得了著名的年度教授獎。除了他卓越的研究成果外，他最大的優勢在於他全球的學術網絡。他已訪問 49 個國家，參加 105 次國際會議，並與來自 42 個國家的 93 所大學的 218 位教授共同撰寫論文。
