Quick Navigation

Topics

Quantum Error Correction Fault Tolerance

Non-Exponential Behaviour in Logical Randomized Benchmarking

arXiv
Authors: Athena Ceasura, Pavithran Iyer, Joel J. Wallman, Hakop Pashayan

Year

2022

Paper ID

14195

Status

Preprint

Abstract Read

~2 min

Abstract Words

146

Citations

N/A

Abstract

We construct a gate and time-independent noise model that results in the output of a logical randomized benchmarking protocol oscillating rather than decaying exponentially. To illustrate our idea, we first construct an example in standard randomized benchmarking where we assume the existence of ``hidden'' qubits, permitting a choice of representation of the Clifford group that contains multiplicities. We use the multiplicities to, with each gate application, update a hidden memory of the gate history that we use to circumvent theorems which guarantee the output decays exponentially. In our focal setting of logical randomized benchmarking, we show that the presence of machinery associated with the implementation of quantum error correction can facilitate non-exponential decay. Since, in logical randomized benchmarking, the role of the hidden qubits is assigned to the syndrome qubits used in error correction and these are strongly coupled to the logical qubits via a decoder.

Paper Tools

Show Paper arXiv Publisher Compare Add to Reading List

Category Correction Request

Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.

Sign in to submit a category correction request for this paper.

Log In to Submit

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #14195 #18005 Estimating and decoding coheren... #17962 Efficient magic state cultivati... #17936 Decoder Switching: Breaking the...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.