Files
agent/papers/items/2026-2607-03105-orbit-q-dual-axis-benchmarking-of-autonomous-agents-in-scientific-quantum-progra.md
T
2026-07-08 12:25:30 +08:00

61 lines
1.3 KiB
Markdown

# Paper: ORBIT-Q: Dual-axis benchmarking of autonomous agents in scientific quantum programming
---
type: paper
title: "ORBIT-Q: Dual-axis benchmarking of autonomous agents in scientific quantum programming"
authors: Shi-Xin Zhang, Yu-Qin Chen
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.03105
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-07-03
updated_at: 2026-07-03
status: queued
relevance: high
topics:
- agent-evaluation
- coding-agent
- workflow-agent
methods:
-
benchmarks:
-
models:
-
datasets:
- quant-ph
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 13
collection_queries: coding-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: coding-agent
- inferred topics: agent-evaluation, coding-agent, workflow-agent
- arXiv categories: quant-ph
- collection score: 13
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2607.03105