Back to News
quantum-computing

Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation

arXiv Quantum Physics
Loading...
3 min read
0 likes
⚡ Quantum Brief
Researchers from China propose Triage, a breakthrough scheduler addressing real-time decoding bottlenecks in fault-tolerant quantum computing, where scaling causes exponential syndrome backlogs and operation stalls. The system frames decoding as a dynamic scheduling problem using a spatio-temporal "slice" framework, optimizing finite decoder resources across large quantum error correction architectures. Triage’s dual-mode design combines a cost-efficient heuristic scheduler with an emergency mode that prioritizes critical operations, reducing logical error rates by 52.6% versus standard parallelism. Evaluations show it maintains low stalls and error rates even with limited classical resources, offering a scalable control plane for next-gen quantum systems. This adaptive approach could unlock practical fault-tolerant quantum computation by mitigating classical processing constraints during error correction.
Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation

Summarize this article with:

Quantum Physics arXiv:2605.04459 (quant-ph) [Submitted on 6 May 2026] Title:Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation Authors:Jiahan Chen, Chenghong Zhu, Ge Bai, Xin Wang View a PDF of the paper titled Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation, by Jiahan Chen and 3 other authors View PDF HTML (experimental) Abstract:Fault-tolerant quantum computation (FTQC) critically depends on real-time classical decoding, which is rapidly emerging as a system bottleneck. As quantum systems scale, decoding latency and throughput limitations lead to exponential syndrome backlogs and logical operation stalls. While hardware accelerators and parallel windowing offer pathways to speed up decoding, dynamically deploying a finite pool of decoders across a vast quantum error correction architecture remains an unresolved resource allocation problem. To address this, we formulate FTQC decoding as a constrained dynamic scheduling problem by utilizing a spatio-temporal framework based on slices. We propose Triage, a dual-mode architecture that mitigates operation stalls by adaptively combining a cost-efficient heuristic scheduler with a priority-aware emergency mode to rapidly resolve the causal cone of critical operations. Our evaluation shows that Triage maintains low algorithm stalls and logical error rates even under scarce classical resource constraints. Across various benchmarks, Triage achieves an average logical error rate reduction of 52.6% compared to standard temporal parallelism, enabling an efficient classical control plane for scalable FTQC architectures. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.04459 [quant-ph] (or arXiv:2605.04459v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.04459 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jiahan Chen [view email] [v1] Wed, 6 May 2026 03:39:24 UTC (1,751 KB) Full-text links: Access Paper: View a PDF of the paper titled Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation, by Jiahan Chen and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-05 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

Read Original

Tags

quantum-optimization
quantum-error-correction

Source Information

Source: arXiv Quantum Physics