Reshaping quantum device noise via repetition code circuits

TL;DR

This paper explores how to reshape quantum noise in trapped-ion devices using repetition code circuits, combining analytical, numerical, and experimental methods to control noise structures for quantum simulations.

Contribution

It introduces a method to transform native quantum noise into desired structures using repetition codes, demonstrated on IonQ hardware.

Findings

Successful noise reshaping demonstrated experimentally on IonQ Aria-1

Analytical and numerical models confirm noise transformation capabilities

Framework for noise characterization and control in quantum devices

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.