标题： QInfer：量子应用的统计推断软件 显示英文标题

标题： QInfer: Statistical inference software for quantum applications

摘要： 通过实验数据刻画量子系统对于计量学和量子计算等多种应用至关重要。 然而，由于缺乏现成的软件来进行有原则的统计分析，以稳健且可重复的方式分析这些实验数据面临挑战。 我们通过引入一个开源库 QInfer 来改善这一状况，以满足这一需求。 我们的库使得从层析、随机基准测试和哈密顿量学习实验中分析数据变得容易，无论是事后处理，还是在数据采集过程中在线进行。 QInfer 还提供了从模拟运行预测提议实验协议性能的功能。 通过提供基于有原则的统计分析的易于使用的刻画工具，QInfer 有助于解决量子技术面临的许多未解决问题。 显示英文摘要

摘要： Characterizing quantum systems through experimental data is critical to applications as diverse as metrology and quantum computing. Analyzing this experimental data in a robust and reproducible manner is made challenging, however, by the lack of readily-available software for performing principled statistical analysis. We improve the robustness and reproducibility of characterization by introducing an open-source library, QInfer, to address this need. Our library makes it easy to analyze data from tomography, randomized benchmarking, and Hamiltonian learning experiments either in post-processing, or online as data is acquired. QInfer also provides functionality for predicting the performance of proposed experimental protocols from simulated runs. By delivering easy- to-use characterization tools based on principled statistical analysis, QInfer helps address many outstanding challenges facing quantum technology.