Hardware Efficient Randomized Compiling

ORAL

Abstract

Randomized compiling (RC) is a widely used quantum error mitigation protocol which tailors coherent errors into stochastic Pauli channels. In RC, a quantum circuit is "randomly compiled" N times, where each randomization applies a different set of Pauli twirling gates for each gate cycle. Implementing RC comes with a large classical overhead -- it requires that the full circuit is recompiled for each randomization, imposing a factor O(N) on the compilation and upload time. We have developed a hardware-efficient protocol for performing randomized compiling in real time on the control FPGA, eliminating the O(N) classical overhead. Additionally, our algorithm has zero runtime overhead and negligible FPGA resource utilization. In this talk, we describe the implementation of our protocol on the QubiC control system, present significant improvements in compilation and execution time, and experimentally demonstrate successful noise tailoring with superconducting qubits.

*This majority of this work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231. Y.X., R.K.N., I.S., and G.H. acknowledge financial support (for the primary development of the QubiC hardware) from the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research Quantum Testbed Program under Contract No. DE-AC02-05CH11231 and the Quantum Testbed Pathfinder Program.

Publication: Hardware-efficient Randomized Compiling ( arXiv:2406.13967 [quant-ph])

Presenters

  • Neelay Fruitwala

    • Lawrence Berkeley National Lab
    • Lawrence Berkeley National Laboratory

Authors

  • Neelay Fruitwala

    • Lawrence Berkeley National Lab
    • Lawrence Berkeley National Laboratory
  • Akel Hashim

    • University of California, Berkeley
  • Abhi D Rajagopala

    • Lawrence Berkeley National Laboratory
  • Yilun Xu

    • Lawrence Berkeley National Laboratory
  • Jordan Hines

    • University of California, Berkeley
  • Ravi K. Naik

    • Lawrence Berkeley National Laboratory
  • Irfan Siddiqi

    • University of California, Berkeley
  • Katherine Klymko

    • Lawrence Berkeley National Laboratory
  • Gang Huang

    • Lawrence Berkeley National Laboratory
  • Kasra Nowrouzi

    • Lawrence Berkeley National Laboratory