sahilfarib/quantum-noise-transfer

一个从两个IBM Quantum设备收集的真实硬件量子噪声数据集，用于研究量子误差缓解中的跨设备转移学习。每个样本包含一个在真实硬件上测量的噪声输出分布和相应的无噪声模拟的理想输出分布，以及设备校准特征。数据集包含170个样本，分为源设备和目标设备，每种设备85个样本。电路类型包括随机电路、Bell态、GHZ态和QFT，使用2-5个量子比特，深度2-8，每次执行8192次。数据集还包含设备校准比较和详细的字段描述。

A real-hardware quantum noise dataset collected from two IBM Quantum devices for studying cross-device transfer learning in quantum error mitigation. Each sample pairs a noisy output distribution (measured on real hardware) with the corresponding ideal output distribution (from noiseless simulation), augmented with device calibration features. The dataset contains 170 samples, divided into source and target devices, with 85 samples each. Circuit types include random, Bell state, GHZ state, and QFT, using 2-5 qubits, depth 2-8, and 8,192 shots per execution. The dataset also includes device calibration comparisons and detailed field descriptions.