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Fully Scalable Randomized Benchmarking Without Motion Reversal

Jordan Hines
(
- UC, Berkeley and
- Sandia
)
,
Daniel Hothem
(
- Sandia
)
,
Robin Blume-Kohout
(
- Sandia
)
,
Birgitta Whaley
(
- UC, Berkeley, Chem. Dept.
)
,
Timothy Proctor
(
- Sandia
)

Sep 10, 2023

17 pages

Published in:

PRX Quantum 5 (2024) 3, 030334

Published: Aug 1, 2024

e-Print:

2309.05147 [quant-ph]

DOI:

10.1103/PRXQuantum.5.030334 (publication)

View in:

ADS Abstract Service

reference search12 citations

Citations per year

Abstract: (APS)

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.

Note:

9 pages + appendices, 5 figures, v2: Close to published version, fixed typos in theory section

References(59)

Figures(6)

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