Peaked-Circuit Sampling on Superconducting Quantum Processor

Oral-In-person

Abstract

Peaked circuits are quantum circuits engineered to concentrate probability weight on a single bitstring, offering a practical path to verifiable quantum advantage because experimental quantum sampling distributions can be efficiently checked. We implement peaked-circuit sampling on IBM superconducting quantum processors and compare the performance to various classical simulation strategies. To handle realistic noise, we introduce a mitigation strategy tailored to peaked sampling distributions that boosts recovery of the target peak. By comparing hardware and classical on identical circuits, our benchmarks point to experimentally accessible regimes where verifiable quantum advantage may emerge.

Presenters

  • Petar Jurcevic

    • IBM Thomas J. Watson Research Center

Authors

  • Petar Jurcevic

    • IBM Thomas J. Watson Research Center
  • David Kremer

    • IBM Research Quantum
  • Abhinav Kandala

    • IBM Thomas J. Watson Research Center
  • Javier Moreno

  • William Kirby

  • Kevin Smith

  • Hayk Tepanyan

  • Nicholas Sherman

    • BlueQubit
  • Minh Tran

  • Kunal Sharma

  • Benjamin Jaderberg

  • Holger Haas