Oct 2026· Computers· Vol 15, pp. 719· 1 citation· 36 references
TL;DR
This study investigated the QEC contribution to the functional size of quantum software and demonstrated that this contribution can be systematically measured using the COSMIC Functional Size Measurement method.
Abstract
As quantum computing has progressed toward fault-tolerant implementations, quantum error correction (QEC) for quantum hardware and software has become a dominant concern. While conventional QEC measurements, such as qubit overhead, code distance, and error thresholds, quantify physical resource costs, they do not capture the software-level functionality introduced by error detection, correction, and fault-tolerant gate protocols. This study investigated the QEC contribution to the functional size of quantum software and demonstrated that this contribution can be systematically measured using the COSMIC Functional Size Measurement method. A gate-level sizing approach, known as Gates’ Occurrences, was used to quantify functional user requirements (FUR) associated with QEC processes, including logical encoding, syndrome extraction, and recovery operations. A prototype measurement tool, implemented in Qiskit (Version 0.7.2), enables the automated calculation of COSMIC Function Points (CFP) from annotated circuit representations. Case studies involving Bell state preparation, Grover’s search algorithm, and 15-to-1 magic state distillation revealed that QEC-related functionality can account for 70–85% of the total functional size, even under simplified encoding assumptions. The results underscore the importance of QEC for the functional size of quantum software. These findings offer a reproducible foundation for functional sizing and future fault-tolerant quantum applications.
This survey presents a full-stack view of compiler design for QEC-protected quantum computation, and identifies open challenges in cross-layer optimization, qLDPC compilation, compiler-decoder co-design, runtime adaptivity, and the development of integrated and benchmarkable FTQC compilation stacks.
Cheng-Hong Zhu, Jia-Han Chen, Ke-Ming He et al.· 0 citations
The survey shows that scalable QEC depends on coordinated advances across codes, devices, control, decoding, architecture, and communication, together with common criteria including logical reliability, timing and throughput.
Muzammil-E-Haque Mahmud, Rajkumar Jain, Ze-Bo Yang et al.· IEEE Access· 0 citations
It is demonstrated that the wall-clock time each decoder takes to process a syndrome measurement and decoding round constitutes a novel, exploitable hardware side channel on physical quantum hardware.
Friedrich Doku, Jakub Szefer, Kaitlin N. Smith· arXiv.org· 0 citations
Quantum error correction (QEC) relies on repeated parity extraction, mid-circuit measurement (MCM), reset, feed-forward, and scheduling, yet these primitives are usually assessed either in isolation or through resource-demanding experiments. We introduce a few-sample benchmark of QEC-relevant primitives based on an MCM...
Most quantum-computer security work targets physical-layer attacks on qubits, while two surfaces remain inadequately defended: the quantum-error-correction (QEC) syndrome-and-decoder pipeline, and the classical control and software stack that runs it. Tampering on these surfaces can corrupt a computation while the phys...
This work introduces the ARIES instruction set hierarchy, which categorizes QISAs into distinct abstraction levels, and develops an end-to-end evaluation toolflow featuring a cycle-accurate classical driver and hardware engine simulator, which offers an optimal architectural balance.
D. Filippov, J. Hogaboam, Mathias Soeken et al.· IEEE International Symposium...· 0 citations
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