Abstract
We develop necessary conditions for a solution to any constrained optimisation problem. Our conditions are stronger than previous results and provide meaningful information on nondifferentiable surfaces defined by the constraints. These results are useful to create numerical optimisers.
We consider a model of quantum computation able to take advantage of linear and nonlinear quantum behaviours. This leads to the creation of several new algorithms, each solving search or counting problems. We show that solving search problems using classical fields provides a square root speedup over classical computation.
We consider a model of quantum computation able to take advantage of linear and nonlinear quantum behaviours. This leads to the creation of several new algorithms, each solving search or counting problems. We show that solving search problems using classical fields provides a square root speedup over classical computation.
Original language | English |
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Qualification | Masters |
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Award date | 12 Nov 2019 |
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Publication status | Unpublished - 2019 |