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

@article{Karamlou2020AnalyzingTP, 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={2020}, 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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