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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 1. Part 1: Basic Applications of Quantum Computing in Finance
2. Chapter 1: Quantum Computing Paradigm 3. Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem 4. Chapter 3: Quantum Finance Landscape 5. Part 2: Advanced Applications of Quantum Computing in Finance
6. Chapter 4: Derivative Valuation 7. Chapter 5: Portfolio Management 8. Chapter 6: Credit Risk Analytics 9. Chapter 7: Implementation in Quantum Clouds 10. Part 3: Upcoming Quantum Scenario
11. Chapter 8: Simulators and HPC’s Role in the NISQ Era 12. Chapter 9: NISQ Quantum Hardware Roadmap 13. Chapter 10: Business Implementation 14. Index 15. Other Books You May Enjoy

Challenges of quantum implementations on cloud platforms

As we mentioned previously, most of the examples shown previously leverage the fact that quantum computing can be mimicked by our classical resources (using simulators). As an example, in Chapter 5, we used the following routine:

backend = Aer.get_backend('qasm_simulator')
result = execute(quantum_circuit, backend, shots=10).result()
counts  = result.get_counts(quantum_circuit)

We utilized a qasm_simulator, an implementation that can execute the operations defined in our quantum circuit and provide the expected outcome as dictated by the mathematical principles governing quantum computing.

We would like to take this very same circuit to a quantum computer, but it is not as easy as purchasing one on Amazon. We can purchase commercially available devices, but the price might be too high for most organizations.

D-Wave

In 2011, D-Wave Systems announced the world’s first commercially available...

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