Artifact of Fuzzing Quantum Systems

## Dataset Sets This archive contains four different dataset sets used for the SSBSE 2024 experiments: - `enhanced-C-ssbse2024-30012026.zip` — enhanced dataset with the C-related additions.- `enhanced-ssbse2024-28012026.zip` — enhanced version of the original SSBSE 2024 dataset.- `orig-ssbse2024-27012026.zip` — original SSBSE 2024 dataset.- `all_pc22_ssbse2024_orig.zip` — original PC22/SSBSE 2024 dataset collection. It also contains generated experimental results from multiple runs: - `qmtq3_5runs.tar.xz` — results from 5 MorphQ runs.- `Fuzz4All_5runs_3configs.tar.xz` — results from 5 Fuzz4All runs across 3 configurations. Lastely, we have two sets of our fuzzer: - 'blackbox-Fuzz3-Fuzzmorphiq-1-2-3-4-5.zip' -- results from fuzzing with FuzzmorphiQ when plugged into the Fuzz3 fuzzer.- TODO -- results from fuzzing with FuzzmorphiQ when plugged into the AFL++ fuzzer. The dataset archives represent separate input variants, while the `.tar.xz` files contain outputs from (x5) repeated experimental runs for reproducibility and analysis. ## Seeds for Fuzzing: Taken from MQT Bench: qasm-mqt-bench-24-08-2026.zip https://mqt-bench.app Categories: algorithm and target-independent level, 2-14 qubits. TODO: other sources.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-17
DOI
https://doi.org/10.5281/zenodo.22812338
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Artifact of Fuzzing Quantum Systems

anon.
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Artifact of Fuzzing Quantum Systems

anon.
article en

Abstract

## Dataset Sets This archive contains four different dataset sets used for the SSBSE 2024 experiments: - `enhanced-C-ssbse2024-30012026.zip` — enhanced dataset with the C-related additions.- `enhanced-ssbse2024-28012026.zip` — enhanced version of the original SSBSE 2024 dataset.- `orig-ssbse2024-27012026.zip` — original SSBSE 2024 dataset.- `all_pc22_ssbse2024_orig.zip` — original PC22/SSBSE 2024 dataset collection. It also contains generated experimental results from multiple runs: - `qmtq3_5runs.tar.xz` — results from 5 MorphQ runs.- `Fuzz4All_5runs_3configs.tar.xz` — results from 5 Fuzz4All runs across 3 configurations. Lastely, we have two sets of our fuzzer: - 'blackbox-Fuzz3-Fuzzmorphiq-1-2-3-4-5.zip' -- results from fuzzing with FuzzmorphiQ when plugged into the Fuzz3 fuzzer.- TODO -- results from fuzzing with FuzzmorphiQ when plugged into the AFL++ fuzzer. The dataset archives represent separate input variants, while the `.tar.xz` files contain outputs from (x5) repeated experimental runs for reproducibility and analysis. ## Seeds for Fuzzing: Taken from MQT Bench: qasm-mqt-bench-24-08-2026.zip https://mqt-bench.app Categories: algorithm and target-independent level, 2-14 qubits. TODO: other sources.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
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Artifact of Fuzzing Quantum Systems — anon. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS