December 2024
Intermediate to advanced
494 pages
8h 28m
English
book
Quantum Machine Learning and Optimisation in Finance - Second Edition
by Antoine Jacquier, Oleksiy Kondratyev
Content preview from Quantum Machine Learning and Optimisation in Finance - Second Edition
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Chapter 3 Quadratic Unconstrained Binary Optimisation
Undoubtedly, Quadratic Unconstrained Binary Optimisation (QUBO) is a flagship use case of quantum annealing. We only need to have a closer look at the name of this class of optimisation problems to see why:
- Quantum annealers operate on binary spin variables. It is straightforward to perform mapping between binary decision variables (represented by the logical qubits) and spin variables.
- The objective functions of quadratic optimisation problems have only linear and quadratic terms. This significantly simplifies the models and allows their embedding on existing quantum annealing hardware.
- Unconstrained optimisation means that although QUBO allows us to specify conditions that must be satisfied, ...
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