Productizing Quantum Computing: Bring Quantum Computing Into Your Organization

Leverage the benefits of quantum computing by identifying business use cases and understanding how to design and develop quantum products and services. This book will guide you to effectively productize quantum computing, including best practices, recommendations, and proven methods to help you navigate the challenges and risks of this emerging technology.

The book starts with a thorough introduction to quantum computing, followed by its various algorithms and applications. You will then learn how to build a strong foundation in classical computing, seek practical experience, and stay up-to-date with the latest developments in the field. Moving forward, you will gain an understanding of how to conduct market research to identify business opportunities for quantum computing products and services. The authors then guide you through the process of developing a quantum roadmap and integrating quantum computing into an existing system. This is concluded by a demonstration of how to manage quantum computing projects and how to address their risks and challenges.

After reading this book, you will understand quantum computing and how it can be applied to real-world business problems.

What You Will Learn

• Identify business use cases for quantum computing and understand the potential benefits and risks of quantum applications
• Design and develop quantum products and services by identifying quantum algorithms, programming in quantum languages, and leveraging quantum simulators and hardware
• Integrate quantum computing into existing systems
• Integrate quantum algorithms with classical algorithms

Who This Book Is For

Product managers, developers, and entrepreneurs who wish to use the potential of quantum computing for their businesses.

藉著辨識商業應用案例並了解如何設計和開發量子產品和服務，充分利用量子計算的好處。本書將引導您有效地產品化量子計算，包括最佳實踐、建議和經過驗證的方法，以幫助您應對這項新興技術的挑戰和風險。

本書以對量子計算的全面介紹開始，接著介紹了各種量子算法和應用。然後，您將學習如何在傳統計算中建立堅實的基礎，尋求實際經驗，並與該領域的最新發展保持同步。接下來，您將了解如何進行市場研究，以辨識量子計算產品和服務的商機。作者們隨後將引導您完成制定量子路線圖並將量子計算整合到現有系統的過程。最後，演示如何管理量子計算項目以及如何應對其風險和挑戰。

閱讀本書後，您將了解量子計算以及如何將其應用於實際的商業問題。

您將學到什麼：
- 辨識量子計算的商業應用案例，並了解量子應用的潛在好處和風險
- 通過辨識量子算法、使用量子語言進行編程以及利用量子模擬器和硬體，設計和開發量子產品和服務
- 將量子計算整合到現有系統中
- 將量子算法與傳統算法整合

本書適合對於希望將量子計算潛力應用於他們的業務的產品經理、開發人員和企業家。

Dhairyya Agarwal is a product manager at Microsoft. He is based out of Mountain View, California where he is honing his product management skill set by solving problems in the email and collaboration security space. He received his master's degree from Carnegie Mellon University in Software Management. He has delivered on many initiatives focused on improving retention, activation, and engagement. He has also worked across 0 to 1 products to enable businesses to enter a new markets.

Shalini D is a quantum AI researcher at Fractal QuantumAI Lab researching quantum algorithms at the intersection of quantum chemistry and quantum machine learning. Previously, she worked at Infosys as a systems engineer, where she worked as a core customization API developer. She has completed her naster's in quantum technology from CSIC-Universidad Internacional Menendez Pelayo, Spain. Her research areas include semiconductor spin qubits, quantum machine learning, and quantum chemistry. She has taught quantum computing, from basic to advanced levels, at many universities, including Vellore Institute of Technology, India. She has also delivered several talks at various universities. Her Udemy course on the Qiskit Developer Exam is the highest-rated and bestseller globally.

Srinjoy Ganguly is a quantum AI research scientist at Fractal QuantumAI Lab and a clinical Professor of Practice for Quantum Technology at Woxsen University. He is also an Associate Supervisor (adjunct) at the University of Southern Queensland in Australia, supervising PhD students in Quantum Machine Learning. He is an IBM Qiskit Advocate and an IBM Quantum Educator with over 5+ years of experience in quantum technologies. He is the author of the book Quantum Computing with Silq Programming, and has published several research papers in quantum chemistry, quantum machine learning, and quantum NLP. He possesses a triple master's in Quantum Technologies, Quantum Computing Technology and Artificial Intelligence (AI) from CSIC-UIMP, Spain, Universidad Politecnica de Madrid and the University of Southampton, respectively. His research interests include superconducting quantum circuits, hybrid superconducting-semiconducting heterostructures (1D & 2D), topological quantum computing, spin qubits, quantum machine learning, quantum chemistry, quantum natural language processing and quantum AI.

Dhairyya Agarwal是微軟的產品經理，他的工作地點位於加利福尼亞州的山景城，他通過解決電子郵件和協作安全領域的問題來提升自己的產品管理技能。他在卡內基梅隆大學獲得了軟件管理碩士學位。他在改善保留率、激活率和參與度方面推動了許多項目。他還在0到1的產品上工作，幫助企業進入新市場。

Shalini D是Fractal QuantumAI Lab的量子人工智能研究員，研究量子化學和量子機器學習交叉領域的量子算法。她曾在Infosys擔任系統工程師，並擔任核心定制API開發人員。她在西班牙的CSIC-Universidad Internacional Menendez Pelayo獲得了量子技術碩士學位。她的研究領域包括半導體自旋量子位、量子機器學習和量子化學。她曾在包括印度Vellore理工學院在內的多所大學教授從基礎到高級水平的量子計算課程。她還在各大學進行了多次演講。她在Udemy上關於Qiskit開發者考試的課程是全球評分最高且最暢銷的課程。

Srinjoy Ganguly是Fractal QuantumAI Lab的量子人工智能研究科學家，也是Woxsen大學量子技術的臨床實踐教授。他還是澳大利亞南昆士蘭大學的副監督（兼職），指導量子機器學習的博士生。他是IBM Qiskit的倡導者和IBM量子教育家，擁有5年以上的量子技術經驗。他是書籍《Quantum Computing with Silq Programming》的作者，並在量子化學、量子機器學習和量子自然語言處理等領域發表了多篇研究論文。他擁有西班牙CSIC-UIMP、馬德里理工大學和南安普敦大學的量子技術、量子計算技術和人工智能（AI）三個碩士學位。他的研究興趣包括超導量子電路、混合超導-半導體異質結構（1D和2D）、拓撲量子計算、自旋量子位、量子機器學習、量子化學、量子自然語言處理和量子人工智能。