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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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Toc

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

10.3 Constructing the PQC

The question of how to construct a high-quality candidate state used to calculate expectations is of fundamental importance. Unless we have some prior knowledge about the ground state and where to search for it in the Hilbert space of the n-qubit system, the first task would be to generate a range of candidate states that will cover the whole Hilbert space without being heavily concentrated in any one region. Let us see how this can be done for the single-qubit and multi-qubit systems.

10.3.1 One-qubit ansatz

We return to the Bloch sphere that visualises the possible states of a one-qubit system. Figure 10.1 shows how the qubit state can change from its initial state |0⟩ to the intermediate state |ψi⟩ and then to the final state |ψf⟩ through a rotation around the y axis followed by a rotation around the z axis.

xyz|0⟩|1⟩|ψi⟩|ψf⟩

Figure 10.1: Bloch sphere: visualisation of one-qubit rotations.

It is possible to reach any point on the Bloch sphere starting from |0⟩ with...

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