Reshaping quantum device noise via repetition code circuits

Noise of a quantum processor can be an important resource for simulating open quantum dynamics. However, this requires characterizing the device noise and then transforming it into a target structure. Here, we take the first step toward this goal: We analytically and numerically study reshaping the noise associated with native trapped-ion two-qubit entangling gates via quantum circuits based on repetition codes, and demonstrate our findings on the IonQ Aria-1 quantum hardware. We investigate all the building blocks, including the quantum channels describing noisy two-qubit entangling gates, the compilation of the encoding circuits into native gates, and the propagation of two-qubit errors across ideal single-qubit gates.

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Publication Details

Journal
Physical Review Research
Published
2025-09-17
DOI
https://doi.org/10.1103/16gx-m7kg
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Reshaping quantum device noise via repetition code circuits

M. S. Kim, Michael Hanks, Yue Ma, Evdokia Gneusheva
Physical Review Research
Quantum Computing Algorithms and Architecture
article

Reshaping quantum device noise via repetition code circuits

M. S. Kim, Michael Hanks, Yue Ma, Evdokia Gneusheva
article en

Abstract

Noise of a quantum processor can be an important resource for simulating open quantum dynamics. However, this requires characterizing the device noise and then transforming it into a target structure. Here, we take the first step toward this goal: We analytically and numerically study reshaping the noise associated with native trapped-ion two-qubit entangling gates via quantum circuits based on repetition codes, and demonstrate our findings on the IonQ Aria-1 quantum hardware. We investigate all the building blocks, including the quantum channels describing noisy two-qubit entangling gates, the compilation of the encoding circuits into native gates, and the propagation of two-qubit errors across ideal single-qubit gates.

Physical Review ResearchVol. 7(3)
Imperial College London (GB)
Openalex Percentile: Top 87%
Quantum Computing Algorithms and Architecture
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