Analyzing the performance of variational quantum factoring on a superconducting quantum processor

@article{Karamlou2021AnalyzingTP,
  title={Analyzing the performance of variational quantum factoring on a superconducting quantum processor},
  author={Amir H. Karamlou and William Andrew Simon and Amara Katabarwa and Travis L. Scholten and Borja Peropadre and Yudong Cao},
  journal={npj Quantum Information},
  year={2021},
  volume={7},
  pages={1-6}
}
In the near-term, hybrid quantum-classical algorithms hold great potential for outperforming classical approaches. Understanding how these two computing paradigms work in tandem is critical for identifying areas where such hybrid algorithms could provide a quantum advantage. In this work, we study a QAOA-based quantum optimization approach by implementing the Variational Quantum Factoring (VQF) algorithm. We execute experimental demonstrations using a superconducting quantum processor, and… 

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