Real-time randomized compilation of quantum algorithms

ORAL

Abstract

Recent experiments have indicated the effectiveness of Pauli Frame Randomization (PFR) as a noise shaping technique. Not only does PFR tailor general noise into Pauli-stochastic noise, it also decouples qubits from their noise environment increasing system Markovianity. Presently, the randomization process requires extensive pre-compilation of pulse sequences. Here, we demonstrate an in hardware implementation of PFR on the BBN Arbitrary Pulse Sequencer II that generates randomized sequences in real-time. We first implement randomized benchmarking without pre-computing pulse sequences before using this capability to randomize a Gate Set Tomography experiment on a superconducting quantum processor.

*This material is based upon work supported by the U.S. Army Research Office under Contract No: W911NF-14-C-0048. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. Army Research Office.

Presenters

  • Guilhem Ribeill

    • Raytheon BBN Technologies
    • BBN Technologies

Authors

  • Guilhem Ribeill

    • Raytheon BBN Technologies
    • BBN Technologies
  • Matthew Ware

    • Raytheon BBN Technologies
    • BBN Technologies
  • Brian Donovan

    • BBN Technologies
  • Luke Govia

    • Raytheon BBN Technologies
    • BBN Technologies