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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
442 pages
9h 37m
English
Packt Publishing
Content preview from Quantum Machine Learning and Optimisation in Finance

Index

A

activation functions 192

activation unit 186

AdaBoost 167

addition operator

    building from NAND gates 272

Adiabatic Quantum Computing (AQC) 88

    implementation 111

    power 96

    principles 92

    universality 124

adjustable one-qubit gates 295

adjustable two-qubit gates 304

amplitude estimation 679

analytic gradient approach 414

ancillary qubits 389, 651

AND gate 268

ansatz 416, 439, 531, 534

Artificial Neural Network (ANN) 186

artificial neuron 186

B

backpropagation 190

bagging 446

Bayesian Quantum Circuit (BQC) 650

Bell circuit 318

Bell states 318

binary digit (bit) 43, 267

binary integer linear programming problem 137

Black-Scholes parabolic PDE 689

Bloch sphere 287

Boltzmann distribution 209, 223

Boltzmann sampling ...

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Publisher Resources

ISBN: 9781801813570