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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

7 Parameterised Quantum Circuits and Data Encoding

Having built the quantum hardware, how can we use it to the maximum effect given its scale, connectivity, and fidelity rate? This question can be best answered if we split it into two parts. First, what problems are in principle solvable on NISQ computers? Second, how do we encode classical data into quantum states?

The rest of this book focuses on the first part: problems and models that can be formulated in a way that doesn’t require a massive number of qubits and that are, at least to some extent, noise tolerant. The first step in this direction is the concept of the Parameterised Quantum Circuit (PQC) as a generic quantum machine learning model.

The second part – data encoding – is equally ...

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Publisher Resources

ISBN: 9781801813570