# Freedom of mixer rotation-axis improves performance in the quantum approximate optimization algorithm

@inproceedings{Govia2021FreedomOM, title={Freedom of mixer rotation-axis improves performance in the quantum approximate optimization algorithm}, author={L. C. G. Govia and Colin Poole and Mark Saffman and Hari Krovi}, year={2021} }

Variational quantum algorithms such as the quantum approximate optimization algorithm (QAOA) are particularly attractive candidates for implementation on near-term quantum processors. As hardware realities such as error and qubit connectivity will constrain achievable circuit depth in the near future, new ways to achieve high-performance at low depth are of great interest. In this work, we present a modification to QAOA that adds additional variational parameters in the form of freedom of the… Expand

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