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Financial Modeling Using Quantum Computing
Financial Modeling Using Quantum Computing

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

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Profile Icon Anshul Saxena Profile Icon Javier Mancilla Profile Icon Iraitz Montalban Profile Icon Christophe Pere
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$29.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (8 Ratings)
eBook May 2023 292 pages 1st Edition
eBook
$29.99
Paperback
$36.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Anshul Saxena Profile Icon Javier Mancilla Profile Icon Iraitz Montalban Profile Icon Christophe Pere
Arrow right icon
$29.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (8 Ratings)
eBook May 2023 292 pages 1st Edition
eBook
$29.99
Paperback
$36.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$29.99
Paperback
$36.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • 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

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.

Who is this book 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.

What you will learn

  • Explore framework, model and technique deployed for Quantum Computing
  • Understand the role of QC in financial modeling and simulations
  • Apply Qiskit and Pennylane framework for financial modeling
  • Build and train models using the most well-known NISQ algorithms
  • Explore best practices for writing QML algorithms
  • Use QML algorithms to understand and solve data mining problems

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 31, 2023
Length: 292 pages
Edition : 1st
Language : English
ISBN-13 : 9781804614877
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What do you get with eBook?

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Product Details

Publication date : May 31, 2023
Length: 292 pages
Edition : 1st
Language : English
ISBN-13 : 9781804614877
Category :
Languages :

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Frequently bought together


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Total $ 144.97
Quantum Computing Algorithms
$54.99
Financial Modeling Using Quantum Computing
$36.99
A Practical Guide to Quantum Machine Learning and Quantum Optimization
$52.99
Total $ 144.97 Stars icon
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Jürgen Burger Dec 12, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I thought the book was pretty good and learned a lot from it.
Feefo Verified review Feefo
ML Enthusiast Jun 19, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book "Financial Modeling using Quantum Computing" is not an introduction to Quantum Computing. There are alreadymany of those on the market - so there is not necessarily a need for another one. It is a book about APPLICATIONS ofQuantum Computing in financial modeling and decision making. And there is no good presentation about this yet- so it is the right book at the right time!In this book, no mathematical or physical basics are taught in the first part; instead, the followingquestions are answered: What are the principles of Quantum Computing? What is the idea behind the most important algorithms?Which tools/frameworks/solutions can be used for Quantum Machine Learning in particular?How does Quantum Computing fit into the finance industry landscape?The second part of the book goes into more depth: How can the valuation of derivatives be implemented with Quantum Computing?How portfolio management ? And how can credit risk analysis (i.e. rating) be realized with Quantum Computing and what are theadvantages arise?Finally, the third part is to look at the synthesis of simulators, NISQ and HPC; the NISQ hardware roadmap and the implicationsfor potential applications.The book is particularly suitable for those who have a basic knowledge of the basics of Quantum Computing and are looking forits placement in a larger, application-related context. For those, the book is absolutely recommendable!
Amazon Verified review Amazon
Russ Fein Jul 06, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Whether you are just starting to learn about Quantum Computers or are already working to integrate them into your business, this is a great starting resource. There is a robust amount of introductory information that is well written and presented in a way that nearly all readers will be able to follow. For those interested in a deeper understanding, there are plenty of details on technical properties. I particularly appreciated all of the graphics as well as the overall structure of the book which had a natural arc to it. It begins with some fundamental background details about quantum computing, quantum machine learning, and the current landscape regarding optimization algorithms. It then covers financial market applications in detail, with chapters on derivatives, credit risk analysis and portfolio optimization, including many real-world examples. The book rounds out the arc with details on how Quantum Computers are being implemented, what the NISQ era can and cannot do and some broader business implications. Despite covering some relatively esoteric topics, the authors do a commendable job making the information approachable, understanding, and interesting. Highly recommended for any and all readers interested in learning more about Quantum Computing, especially if they are interested in financial use-cases.
Amazon Verified review Amazon
Ram Rahul Pennam Jun 28, 2023
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# Overview of this book:This is very interesting book I would say. To begin with, this book contains Part 1 which addresses “Basic Applications of Quantum Computing in Finance” which gives us basic understanding of what is quantum computing, evolution, principles and explains about some of the important algorithms such as Shor and Grover. It also highlights some of the key. concepts and explanation along with code samples for Python library Qiskit for Quantum programming. This part also introduces financial concepts is very helpful for people from different domains.---# Advanced concepts:The Part 2 of this book contains concepts related to advanced applications of QuantumComputing in Finance such as (Calculus) derivatives and its theoretical aspects. All these concepts are coined together in this and are related to QC. This section also includes Machine Learning, Case Studies which are very helpful for Analysts, financial concepts like Portfolio Management and Credit Risk Analytics along with QC can be implementations.This sections gives us insights about how companies like D-wave, IBM, Amazon and Microsoft implements QC in the cloud. Not sure but curious why this did not include Google’s QC.---# Future Proofing and Case StudiesThis Part 3 Section contains one of main technical stuff like simulation of noice models, error correction, assigning logical and physical circuits. Yes, design circuits is one of most important aspects in QC. This part is illustrated with circuit diagrams, graphs etc. as it’s very important to understand QC. Finally, this section has plenty of case studies which in my opinion are very helpful for understanding, updating with current market trends and also helps us to prepare for interviews.
Amazon Verified review Amazon
LV Subramaniam Jun 06, 2023
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This book is incredibly timely, as the financial industry is currently at the forefront of exploring the potential of quantum computing to tackle its toughest challenges. By delving into the content of this book, readers gain invaluable insights into this emerging field. It offers a unique opportunity to peek into the exciting world of quantum computing and its applications within the financial sector. Whether you're a seasoned industry professional or simply curious about the intersection of finance and quantum technology, this book is sure to provide you with a comprehensive and enlightening understanding of the subject matter.
Amazon Verified review Amazon
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