Logical Error Rates for the Surface Code Under a Mixed Coherent and Stochastic Circuit-Level Noise Model Inspired by Trapped Ions
Tyler LeBlond, Peter Groszkowski, Justin G. Lietz, Christopher M. Seck, Ryan S. Bennink

TL;DR
This paper analyzes logical error rates of the surface code under a mixed coherent and stochastic noise model inspired by trapped-ion quantum computers, providing insights into realistic hardware error behavior and thresholds.
Contribution
It introduces a detailed noise model for the surface code on trapped-ion hardware and employs Monte Carlo techniques to estimate logical error rates under realistic conditions.
Findings
Error suppression up to code distance 11 at low dephasing rates.
Logical error rates match stochastic simulations in low dephasing regimes.
Evidence of increased coherent rotations and reduced thresholds at higher dephasing rates.
Abstract
With fault-tolerant quantum computing (FTQC) on the horizon, it is critical to understand sources of logical error in plausible hardware implementations of quantum error-correcting codes (QECC). In this work, we consider logical error rates for the surface code implemented on a hypothetical grid-based trapped-ion quantum charge-coupled device (QCCD) architecture. Specifically, we construct logical channels for the idling surface code and examine its diamond error under a mixed coherent and stochastic circuit-level noise model inspired by trapped ions. We include the coherent dephasing noise that is known to accumulate during physical qubit idling and transport in these systems, determining idling and transport durations using the time-resolved output of the trapped-ion surface code compiler (TISCC). To estimate expectation values of logical Pauli observables following hardware circuits…
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Taxonomy
TopicsIntegrated Circuits and Semiconductor Failure Analysis
