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Trapped Ion Quantum Computing

Reshaping quantum device noise via repetition code circuits

arXiv
Authors: Yue Ma, Michael Hanks, Evdokia Gneusheva, M. S. Kim

Year

2024

Paper ID

37336

Status

Preprint

Abstract Read

~2 min

Abstract Words

106

Citations

N/A

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 towards 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 experimentally 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.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Noise of a quantum processor can be an important resource for simulating open quantum dynamics.

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