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Quantum Machine Learning and Optimisation in Finance

You're reading from   Quantum Machine Learning and Optimisation in Finance Drive financial innovation with quantum-powered algorithms and optimisation strategies

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781836209614
Length 494 pages
Edition 2nd Edition
Languages
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Authors (2):
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Jacquier Antoine Jacquier Antoine
Author Profile Icon Jacquier Antoine
Jacquier Antoine
Alexei Kondratyev Alexei Kondratyev
Author Profile Icon Alexei Kondratyev
Alexei Kondratyev
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Table of Contents (21) Chapters Close

Preface 1. Chapter 1 The Principles of Quantum Mechanics FREE CHAPTER 2. Part I Analog Quantum Computing – Quantum Annealing
3. Chapter 2 Adiabatic Quantum Computing 4. Chapter 3 Quadratic Unconstrained Binary Optimisation 5. Chapter 4 Quantum Boosting 6. Chapter 5 Quantum Boltzmann Machine 7. Part II Gate Model Quantum Computing
8. Chapter 6 Qubits and Quantum Logic Gates 9. Chapter 7 Parameterised Quantum Circuits and Data Encoding 10. Chapter 8 Quantum Neural Network 11. Chapter 9 Quantum Circuit Born Machine 12. Chapter 10 Variational Quantum Eigensolver 13. Chapter 11 Quantum Approximate Optimisation Algorithm 14. Chapter 12 Quantum Kernels and Quantum Two-Sample Test 15. Chapter 13 The Power of Parameterised Quantum Circuits 16. Chapter 14 Advanced QML Models 17. Chapter 15 Beyond NISQ 18. Bibliography
19. Index 20. Other Books You Might Enjoy

6.2 Physical Realisations of Classical Bits and Logic Gates

We have so far defined bits and classical logic gates from a theoretical computer science point of view. We now provide an overview of the most efficient hardware techniques used to effectively implement such operations.

6.2.1 Implementation of the NAND gate

The NAND gate (together with the fan-out operator) is a universal gate in classical digital computing. Therefore, it should be sufficient to find a practical physical implementation of the NAND Boolean function in order to build a universal computer. Figure 6.7 displays several possible realisations of the NAND gate using different technologies, from electrical switches to semiconductors.

Relay Logic: Switches are interpreted as bits with 0 = open and 1 = closed. When switches A and B are both closed, an electromagnet opens switch C. If either or both of switches A and B are open, the circuit is broken and an electromagnet...

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