Radiation‐Induced Fault Detection in Superconducting Quantum Devices

ABSTRACT The quest for universal superconducting quantum computing is hindered by noise and errors. It has been proven that Quantum Error Correction (QEC) codes will lay at the foundation of fault‐tolerant quantum computing. However, cosmic‐ray‐induced correlated errors, the most detrimental events that can impact superconducting quantum computers, are yet to be efficiently tackled. In order to reach fault tolerance, we must also develop radiation aware methods to complement QEC. In this paper, the first algorithm to effectively exploit syndrome information for the efficient detection of radiation events in superconducting quantum devices at runtime is proposed. A thorough analysis of simulated Rotated Surface codes injecting over 11 million physics‐modeled radiation‐induced faults is performed. The properties of the X and Z check bases, the impact of code distance, and the decoder's time to solution constraints are considered. The technique detects of injected faults, regardless of the impact's position. Moreover, both the radiation impact center and the area affected are accurately identified, with an overhead lower than the decoding time. Additionally, the fault identification information is used to propose a radiation fault correction technique that improves of up to the output correctness compared to existing decoders.

Institutions

Publication Details

Journal
Advanced Quantum Technologies
Published
2026-04-01
DOI
https://doi.org/10.1002/qute.202500469
Primary Topic
Radiation Effects in Electronics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiation‐Induced Fault Detection in Superconducting Quantum Devices

Advanced Quantum Technologies
Radiation Effects in Electronics
article

Radiation‐Induced Fault Detection in Superconducting Quantum Devices

article en

Abstract

ABSTRACT The quest for universal superconducting quantum computing is hindered by noise and errors. It has been proven that Quantum Error Correction (QEC) codes will lay at the foundation of fault‐tolerant quantum computing. However, cosmic‐ray‐induced correlated errors, the most detrimental events that can impact superconducting quantum computers, are yet to be efficiently tackled. In order to reach fault tolerance, we must also develop radiation aware methods to complement QEC. In this paper, the first algorithm to effectively exploit syndrome information for the efficient detection of radiation events in superconducting quantum devices at runtime is proposed. A thorough analysis of simulated Rotated Surface codes injecting over 11 million physics‐modeled radiation‐induced faults is performed. The properties of the X and Z check bases, the impact of code distance, and the decoder's time to solution constraints are considered. The technique detects of injected faults, regardless of the impact's position. Moreover, both the radiation impact center and the area affected are accurately identified, with an overhead lower than the decoding time. Additionally, the fault identification information is used to propose a radiation fault correction technique that improves of up to the output correctness compared to existing decoders.

Advanced Quantum TechnologiesVol. 9(4)
University of Trento (IT), Istituto Nazionale di Fisica Nucleare, Trento Institute for Fundamental Physics And Applications (IT)
European High Performance Computing Joint Undertaking, Instituto Nazionale di Fisica Nucleare
Openalex Percentile: Top 99%
Radiation Effects in Electronics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.