Predictive Window Decoding to Minimize Program Runtime

ORAL

Abstract

Real-time decoding is a key ingredient in future fault-tolerant quantum systems. Prior work has shown parallel window schemes can scalably meet throughput requirements in the presence of increasing decoding times given enough classical resources. However, such schemes introduce sub-optimal decoding latency, resulting in additional delay during T injection that slows down program performance. To alleviate this, we introduce predictive window decoding. Our scheme utilizes a light-weight prediction step that allows windows to begin decoding soon after they are generated. As a result, the decoding latency, and critically the latency of blocking operations such as T gates, is reduced, leading to a shorter program runtime. In our evaluation, we compare window decoding with and without prediction for a range of fault-tolerant benchmark applications, and we analyze the sensitivity of our results to prediction accuracy.

*This work is funded in part by EPiQC, an NSF Expedition in Computing, under award CCF-1730449; in part by STAQ under award NSF Phy-1818914/232580; in part by the US Department of Energy Office of Advanced Scientific Computing Research, Accelerated Research for Quantum Computing Program; and in part by the NSF Quantum Leap Challenge Institute for Hybrid Quantum Architectures and Networks (NSF Award 2016136), in part based upon work supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, and in part by the Army Research Office under Grant Number W911NF-23-1-0077. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. FTC is the Chief Scientist for Quantum Software at Infleqtion and an advisor to Quantum Circuits, Inc. This work was completed in part with resources provided by the University of Chicago’s Research Computing Center.

Presenters

  • Joshua Viszlai

    • University of Chicago

Authors

  • Joshua Viszlai

    • University of Chicago
  • Jason D Chadwick

    • University of Chicago
    • Intel
  • Sarang Joshi

    • University of Chicago
  • Gokul Subramanian Ravi

    • University of Michigan
  • Frederic T Chong

    • University of Chicago