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Quantum Machine Learning and Optimisation in Finance
book

Quantum Machine Learning and Optimisation in Finance

by Antoine Jacquier, Oleksiy Kondratyev
October 2022
Intermediate to advanced content levelIntermediate to advanced
442 pages
9h 37m
English
Packt Publishing
Content preview from Quantum Machine Learning and Optimisation in Finance

11 Quantum Approximate Optimisation Algorithm

As the name suggests, the Quantum Approximate Optimisation Algorithm (QAOA) is an optimisation algorithm. It is motivated by and draws upon two optimisation algorithms considered in previous chapters: AQC and VQE. From AQC it borrows the concept of solving an optimisation problem through encoding the corresponding objective function in the problem Hamiltonian and then evolving the system in such a way that the ground state of the final Hamiltonian provides the solution we are after (in a bitstring format). From VQE it borrows the variational principle applied to the parameterised quantum circuit. Roughly speaking, QAOA is a gate-model version of an optimisation solver that otherwise could have been ...

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Publisher Resources

ISBN: 9781801813570