State-of-the-art Classical Tools to Benchmark NISQ Devices

ORAL

Abstract

In the race to show quantum advantage, early quantum devices must be compared to the state-of-the-art classical technology currently available. At the Quantum Artificial Intelligence Lab (QuAIL) at NASA Ames, we are continuously developing new classical algorithms to benchmark/validate quantum hardware and to raise the bar to claim quantum advantage. In my talk, I will present some of our latest state-of-the-art classical tools to optimize classical cost functions (in collaboration with Texas A&M University), including numerical results on hard benchmark problem sets. Moreover, I will present our optimized classical simulator for large quantum circuits (in collaboration with the Google AI team), including numerical simulations of the Google Bristlecone quantum processing unit.

Presenters

  • Salvatore Mandra

    Quantum Artificial Intelligence Lab (QuAIL) @ NASA Ames - Stinger Ghaffarian Technologies (SGT)

Authors

  • Salvatore Mandra

    Quantum Artificial Intelligence Lab (QuAIL) @ NASA Ames - Stinger Ghaffarian Technologies (SGT)

  • Benjamin Villalonga

    University of Illinois at Urbana-Champaign, University of Illinois at Urbana-Champaign - Quantum Artificial Intelligence Lab (QuAIL) @ NASA Ames - USRA Research Institute for Advanced Computer Science (RIACS)

  • Sergio Boixo

    Google Inc., Quantum A. I. Laboratory, Google

  • Helmut Katzgraber

    Physics, Texas A&M University, Microsoft Quantum, Microsoft, Microsoft Quantum, Texas A&M University

  • Eleanor Rieffel

    NASA Ames Research Center, Quantum Artificial Intelligence Lab (QuAIL) @ NASA Ames, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, Quantum Artificial Intelligence Laboratory, NASA Ames Research Center