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
- anon.
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