Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors

@article{Li2021SoftwareHardwareCF,
  title={Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors},
  author={Gushu Li and Yunong Shi and Ali Javadi-Abhari},
  journal={2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA)},
  year={2021},
  pages={832-845}
}
Computational chemistry is the leading application to demonstrate the advantage of quantum computing in the near term. However, large-scale simulation of chemical systems on quantum computers is currently hindered due to a mismatch between the computational resource needs of the program and those available in today’s technology. In this paper we argue that significant new optimizations can be discovered by co-designing the application, compiler, and hardware. We show that multiple optimization… 

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