QEncodeBench - Subset Sum: leaderboard

The subset-sum family of QEncodeBench (Che, Wu, Yuan and Yu, 2026): 70 core instances whose phase oracle must mark the subsets whose values sum to a target. Semantic pass@1 in percent, decided by exhaustive simulation of the generated Qiskit circuit up to a global phase; higher is better.

Metric: Semantic pass@1 (%; L3 gate, subset sum (selected values sum to the target), 70 instances of the core set; the model writes a Qiskit build_oracle function in one shot and the verifier decides full solution-set equivalence up to a global phase by exhaustive simulation, with ancillas restored and a measurement-free unitary circuit; pass@1, one attempt per instance (five samples at temperature 0.7 for the non-reasoning DeepSeek-V4-Flash row)). Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-OSS-120B (High)90#699 (GPT-OSS-120B)
2GPT-5.6 Terra87.1#60
3GPT-OSS-20B (High)85.7#1150 (GPT-OSS-20B)
4Claude Opus 4.858.6#56
5Claude Haiku 4.557.1#568
6DeepSeek V4 Flash (Non-reasoning)9.7#254 (DeepSeek V4 Flash)
7DeepSeek R1 0528 Qwen3 8B1.4#2101
8Qwen 2.5 Coder 7B Instruct0#3884

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=qencodebench-subset-sum · How It Works · Data refreshed daily, snapshot 2026-11-12.