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Financial Modeling Using Quantum Computing

Financial Modeling Using Quantum Computing

By : Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere
5 (8)
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Financial Modeling Using Quantum Computing

Financial Modeling Using Quantum Computing

5 (8)
By: Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere

Overview of this book

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.
Table of Contents (16 chapters)
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1
Part 1: Basic Applications of Quantum Computing in Finance
5
Part 2: Advanced Applications of Quantum Computing in Finance
10
Part 3: Upcoming Quantum Scenario

Further reading

Many providers are already shaping their offerings so that new as-a-service paradigms will emerge in the following years.

Oxford Quantum Circuits has already embraced the concept of Quantum Computing as a Service (QCaaS) (https://www.techradar.com/news/quantum-computing-as-a-service-is-going-mainstream), whereas other companies like QCentroid are targeting a wider audience by offering off-the-shelf solutions tailored to industry-specific applications through their Quantum-as-a-Service (QaaS) platform (https://marketplace.qcentroid.xyz/).

When thinking about cloud-accessible resources, one of the most interesting cases is the one posed by the variational quantum algorithm, where a constant interchange between classical and quantum resources must be sorted out. Given the queue times we have seen, we must be aware that any remote training of the ansatz will face important delays per iteration if we attempt to train on an actual device remotely.

Given the existing...

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