# Quantum Algorithms for Scientific Computing and Approximate Optimization

@article{Hadfield2018QuantumAF, title={Quantum Algorithms for Scientific Computing and Approximate Optimization}, author={Stuart Hadfield}, journal={arXiv: Quantum Physics}, year={2018} }

Quantum computation appears to offer significant advantages over classical computation and this has generated a tremendous interest in the field. In this thesis we consider the application of quantum computers to scientific computing and combinatorial optimization. We study five problems. The first three deal with quantum algorithms for computational problems in science and engineering, including quantum simulation of physical systems. In particular, we study quantum algorithms for numerical… CONTINUE READING

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## A Tutorial on Quantum Approximate Optimization Algorithm (QAOA): Fundamentals and Applications

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## Linear and nonlinear quantum algorithms made explicit

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## Quantum approximate algorithm for NP optimization problems with constraints

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## Robust Control Optimization for Quantum Approximate Optimization Algorithm

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## Policy Gradient based Quantum Approximate Optimization Algorithm

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## The deep learning and statistical physics applications to the problems of combinatorial optimization

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## QxSQA: GPGPU-Accelerated Simulated Quantum Annealer within a Non-Linear Optimization and Boltzmann Sampling Framework

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## Quantum-Assisted Graph Clustering and Quadratic Unconstrained D-ary Optimisation.

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