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This research establishes a new performance benchmark for fault-tolerant syndrome extraction using the Steane code, achieving significant reductions in logical error rates through adaptive dynamic protocols and optimized ZX-rewrites. By integrating efficient recovery circuits that respond to internal faults, this work advances practical pathways toward scalable quantum computing architectures with improved reliability per cycle.
Surse care acoperăarXiv, Quantum Computing Report
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Ultra Low Overhead Syndrome Extraction for the Steane code

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arXiv:2511.13700v2 Announce Type: replace Abstract: We establish a new performance benchmark for the fault-tolerant syndrome extraction of the [[7, 1, 3]] Steane code with a dynamic protocol. Our method is built on two highly optimized circuits derived using fault-equivalent ZX-rewrites: a primary fault-tolerant circuit with 14 CNOTs and an efficient non-fault-tolerant recovery circuit with 11 CNOTs. The protocol uses an adaptive response to internal faults, discarding flagged measurements and falling back to the recovery circuit to correct potentially detrimental errors. Monte Carlo simulations confirm the efficiency of our protocol, reducing the logical error rate per cycle by an average of ~14.3% relative to the optimized Steane method [arXiv:2506.17181] and ~17.3% compared to Reichardt's three-qubit method [arXiv:1804.06995], the leading prior techniques.

Abstract:We establish a new performance benchmark for the fault-tolerant syndrome extraction of the [[7, 1, 3]] Steane code with a dynamic protocol. Our method is built on two highly optimized circuits derived using fault-equivalent ZX-rewrites: a primary fault-tolerant circuit with 14 CNOTs and an efficient non-fault-tolerant recovery circuit with 11 CNOTs. The protocol uses an adaptive response to internal faults, discarding flagged measurements and falling back to the recovery circuit to correct potentially detrimental errors. Monte Carlo simulations confirm the efficiency of our protocol, reducing the logical error rate per cycle by an average of ~14.3% relative to the optimized Steane method [arXiv:2506.17181] and ~17.3% compared to Reichardt's three-qubit method [arXiv:1804.06995], the leading prior techniques.

arXiv:2511.13700 [quant-ph]

(or arXiv:2511.13700v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2511.13700 Focus to learn more arXiv-issued DOI via DataCite

Quantum Sci. Technol. 11 045009 (2026)

https://doi.org/10.1088/2058-9565/ae8df6 Focus to learn more DOI(s) linking to related resources

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