3 papers
cs.AI2026
QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
Songxin Qu, Tai-Ping Sun, Yun-Jie Wang +8
Large language models (LLMs) show strong capabilities in general reasoning but typically lack reliability in scientific domains like quantum mechanics, which demand strict adherenc…
quant-ph2026
Q-Tag: Watermarking Quantum Circuit Generative Models
Yang Yang, Yuzhu Long, Han Fang +4
Quantum cloud platforms have become the most widely adopted and mainstream approach for accessing quantum computing resources, due to the scarcity and operational complexity of qua…
quant-ph2026
Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang +17
Quantum machine learning (QML) models, like their classical counterparts, are vulnerable to adversarial attacks, hindering their secure deployment. Here, we report the first system…