PRX Quantum (Aug 2024)

Fully Scalable Randomized Benchmarking Without Motion Reversal

  • Jordan Hines,
  • Daniel Hothem,
  • Robin Blume-Kohout,
  • Birgitta Whaley,
  • Timothy Proctor

DOI
https://doi.org/10.1103/PRXQuantum.5.030334
Journal volume & issue
Vol. 5, no. 3
p. 030334

Abstract

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We introduce binary randomized benchmarking (BiRB), a protocol that streamlines traditional RB by using circuits consisting almost entirely of independent identically distributed (IID) layers of gates. BiRB reliably and efficiently extracts the average error rate of a Clifford gate set by sending tensor-product eigenstates of random Pauli operators through random circuits with IID layers. Unlike existing RB methods, BiRB does not use motion reversal circuits—i.e., circuits that implement the identity (or a Pauli) operator—which simplifies both the method and the theory proving its reliability. Furthermore, this simplicity enables scaling BiRB to many more qubits than the most widely used RB methods.