分期價:(除不盡餘數於第一期收取) 分期說明
| 3期0利率 | 每期3999 | 6期0利率 | 每期1999 |
|---|
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
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 BajajInstitute 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.
外文館商品版本:商品之書封,為出版社提供之樣本。實際出貨商品,以出版社所提供之現有版本為主。關於外文書裝訂、版本上的差異,請參考【外文書的小知識】。
調貨時間:無庫存之商品,在您完成訂單程序之後,將以空運的方式為您下單調貨。原則上約14~20個工作天可以取書(若有將延遲另行告知)。為了縮短等待的時間,建議您將外文書與其它商品分開下單,以獲得最快的取貨速度,但若是海外專案進口的外文商品,調貨時間約1~2個月。
若您具有法人身份為常態性且大量購書者,或有特殊作業需求,建議您可洽詢「企業採購」。
退換貨說明
會員所購買的商品均享有到貨十天的猶豫期(含例假日)。退回之商品必須於猶豫期內寄回。
辦理退換貨時,商品必須是全新狀態與完整包裝(請注意保持商品本體、配件、贈品、保證書、原廠包裝及所有附隨文件或資料的完整性,切勿缺漏任何配件或損毀原廠外盒)。退回商品無法回復原狀者,恐將影響退貨權益或需負擔部分費用。
訂購本商品前請務必詳閱商品退換貨原則。
What If? Tenth Anniversary Edition: Serious Scientific Answers to Absurd Hypothetical Questions
What If? 2 : Additional Serious Scientific Answers to Absurd Hypothetical Questions
How To: Absurd Scientific Advice for Common Real-World Problems
The Thinking Machine: Jensen Huang, Nvidia, and the World’s Most Coveted Microchip