Compilation of Quantum Applications to Hardware Primitives

ORAL  · Invited

Abstract

We present results from compilation software that tailors the execution of quantum applications to underlying hardware primitives. Exemplar techniques employed include native gateset decomposition, echoed noise mitigation, dynamical decoupling, noise-aware mapping, and crosstalk avoidance. In each such technique, the compiler must be made aware of the underlying device physics. We present experimental results from cold atom, superconducting, and trapped ion hardware. On multiple benchmark applications, we observe 10x improvements in performance, with further enhancements possible at larger program sizes.

*This material is supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research under Award Number DE-SC0021526.

Presenters

  • Pranav Gokhale

    • Super.tech, a division of ColdQuanta

Authors

  • Pranav Gokhale

    • Super.tech, a division of ColdQuanta
  • Fred Chong

    • Super.tech, a division of ColdQuanta
  • Andrew Litteken

    • Super.tech, a division of ColdQuanta
  • David Owusu-Antwi

    • Super.tech, a division of ColdQuanta
  • Michael Perlin

    • Super.tech, a division of ColdQuanta
    • ColdQuanta Inc.
  • Kaitlin Smith

    • Super.tech, a division of ColdQuanta
  • Palash Goiporia

    • Super.tech, a division of ColdQuanta
  • Rich Rines

    • Super.tech, a division of ColdQuanta
  • Salahedeen Issa

    • Super.tech, a division of ColdQuanta
  • Victory Omole

    • Super.tech, a division of ColdQuanta