Tunable Artificial Atoms: Engineered Quantum Building Blocks for Scalable Processors and Unhackable Networks

This dataset supports the manuscript "Tunable Artificial Atoms: Engineered Quantum Building Blocks for Scalable Processors and Unhackable Networks" submitted to Quantum Engineering (Wiley, 2026). It includes raw cryogenic measurement logs, processed performance metrics (>99.6% gate fidelity, 2.3× coherence gain, >60% crosstalk suppression), circuit-QED simulations (QuTiP/Python), device fabrication schematics (GDSII/PDF), and Jupyter notebooks that reproduce all key figures. The work demonstrates tunable artificial atoms—synthetic quantum systems based on superconducting circuits and quantum dots—as programmable matter for fault-tolerant quantum computing and intrinsically secure quantum networks.

本数据集支持提交至Wiley旗下《量子工程》（Quantum Engineering）期刊、拟于2026年刊发的研究稿件《可调谐人工原子：面向可扩展处理器与不可破解量子网络的工程化量子构建单元》。数据集包含低温原始测量日志、经处理的性能指标（门保真度＞99.6%、相干性增益达2.3倍、串扰抑制率＞60%）、基于QuTiP与Python的电路量子电动力学（circuit-QED）仿真数据、器件制备原理图（GDSII/PDF格式），以及可复现所有关键图表的Jupyter笔记本。该项研究证明，可调谐人工原子——基于超导电路与量子点的合成量子系统——可作为面向容错量子计算与本征安全量子网络的可编程物质。