QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits
cs.LG, quant-ph
Submitted: 2026-04-28
Updated: 2026-09-25
Code: https://github.com/fuzhenxiao/QASM-Eval
Terminology
Sources
- PennyLane: Automatic differentiation of hybrid quantum-classical computations
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
- VeriQBench: A Benchmark for Multiple Types of Quantum Circuits
- QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
- QuanBench: Benchmarking Quantum Code Generation with Large Language Models
- InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
- WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch
- AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
- Language Models are Few-Shot Learners
- A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
- QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL
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