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Financial Modeling Using Quantum Computing

You're reading from  Financial Modeling Using Quantum Computing

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781804618424
Pages 292 pages
Edition 1st Edition
Languages
Authors (4):
Anshul Saxena Anshul Saxena
Profile icon Anshul Saxena
Javier Mancilla Javier Mancilla
Profile icon Javier Mancilla
Iraitz Montalban Iraitz Montalban
Profile icon Iraitz Montalban
Christophe Pere Christophe Pere
Profile icon Christophe Pere
View More author details

Table of Contents (16) Chapters

Preface Part 1: Basic Applications of Quantum Computing in Finance
Chapter 1: Quantum Computing Paradigm Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem Chapter 3: Quantum Finance Landscape Part 2: Advanced Applications of Quantum Computing in Finance
Chapter 4: Derivative Valuation Chapter 5: Portfolio Management Chapter 6: Credit Risk Analytics Chapter 7: Implementation in Quantum Clouds Part 3: Upcoming Quantum Scenario
Chapter 8: Simulators and HPC’s Role in the NISQ Era Chapter 9: NISQ Quantum Hardware Roadmap Chapter 10: Business Implementation Index Other Books You May Enjoy

Infrastructure integration barrier

One of the natural barriers for companies looking to explore solutions with quantum computing is how to integrate them into their current operations. Depending on the case, the technology of real quantum hardware can be more or less prepared for real-time response and coexist with the current systems that the companies have deployed in the cloud. Particularly in the QML field, for classification challenges (credit scoring or fraud prediction), the instant response from a QC could be an issue to solve, since most of the machines have a queue system due to the small number of computers available. As a valid option, companies can use several types of simulators in the cloud to operate in a low range of qubits (most of the hybrid quantum-classical algorithms for QML operate quite well with a few tens of qubits) below the 40-qubit line.

The use of simulators can represent a good cost-efficient option, since the quantum algorithms can run faster (in...

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