Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making

Elevate your problem-solving prowess by using cutting-edge quantum machine learning algorithms in the financial domain

Purchase of the print or Kindle book includes a free PDF eBook

Key Features:

• Learn to solve financial analysis problems by harnessing quantum power
• Unlock the benefits of quantum machine learning and its potential to solve problems
• Train QML to solve portfolio optimization and risk analytics problems

Book Description:

Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.

This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you'll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.

By the end of this book, you'll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.

What You Will Learn:

• Examine quantum computing frameworks, models, and techniques
• Get to grips with QC's impact on financial modelling and simulations
• Utilize Qiskit and Pennylane for financial analyses
• Employ renowned NISQ algorithms in model building
• Discover best practices for QML algorithm
• Solve data mining issues with QML algorithms

Who this book is for:

This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.

提升您在金融領域中解決問題的能力，使用尖端的量子機器學習算法。

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主要特點：
- 通過利用量子能力解決金融分析問題
- 發掘量子機器學習的優勢及其解決問題的潛力
- 訓練量子機器學習以解決投資組合優化和風險分析問題

書籍描述：
量子計算有潛力革新計算範式。通過將量子算法與人工智能和機器學習相結合，我們可以利用量子位元的能力為複雜的金融問題提供全面且優化的解決方案。

本書提供了在Python環境中使用各種量子算法框架的逐步指導，讓您能夠應對金融業務挑戰。通過使用著名的Python庫與量子算法的對比解決方案，您將發現量子方法的優勢。作者專業地以清晰的方式呈現複雜的量子算法，使其易於理解但又全面。在整本書中，您將熟練地使用簡單的程式來演示量子計算原理。逐漸地，您將進展到更複雜的程式和算法，充分利用量子計算的強大能力。

通過閱讀本書，您將能夠設計、實施並運行自己的量子計算程式，以加速您的金融建模。

學到什麼：
- 檢視量子計算框架、模型和技術
- 瞭解量子計算對金融建模和模擬的影響
- 使用Qiskit和Pennylane進行金融分析
- 在模型構建中應用著名的NISQ算法
- 發現QML算法的最佳實踐
- 使用QML算法解決數據挖掘問題

適合對象：
本書適合金融從業人員、量化分析師或開發人員，希望將量子計算的能力應用於其組織中。這是一本為金融專業人士寫的重要資源，他們希望利用量子計算機解決現實世界的金融問題。需要具備Python、微積分、線性代數和量子計算的基礎知識。