Brahmbhatt Devanshu, Xu Yilun, Vora Neel, Chen Larry, Fruitwala Neelay, Huang Gang, Ji Qing, Nguyen Phuc
Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
Sci Rep. 2024 Sep 30;14(1):22703. doi: 10.1038/s41598-024-72584-9.
Developing collaborative research platforms for quantum bit control is crucial for driving innovation in the field, as they enable the exchange of ideas, data, and implementation to achieve more impactful outcomes. Furthermore, considering the high costs associated with quantum experimental setups, collaborative environments are vital for maximizing resource utilization efficiently. However, the lack of dedicated data management platforms presents a significant obstacle to progress, highlighting the necessity for essential assistive tools tailored for this purpose. Current qubit control systems are unable to handle complicated management of extensive calibration data and do not support effectively visualizing intricate quantum experiment outcomes. In this paper, we introduce Qubit Control Storage and Visualization (QubiCSV), a platform specifically designed to meet the demands of quantum computing research, focusing on the storage and analysis of calibration and characterization data in qubit control systems. As an open-source tool, QubiCSV facilitates efficient data management of quantum computing, providing data versioning capabilities for data storage and allowing researchers and programmers to interact with qubits in real time. The insightful visualization are developed to interpret complex quantum experiments and optimize qubit performance. QubiCSV not only streamlines the handling of qubit control system data but also improves the user experience with intuitive visualization features, making it a valuable asset for researchers in the quantum computing domain.
开发用于量子比特控制的协作研究平台对于推动该领域的创新至关重要,因为它们能够促进思想、数据和实现方法的交流,从而取得更具影响力的成果。此外,考虑到量子实验装置的高昂成本,协作环境对于有效最大化资源利用至关重要。然而,缺乏专门的数据管理平台对进展构成了重大障碍,凸显了为此目的量身定制基本辅助工具的必要性。当前的量子比特控制系统无法处理大量校准数据的复杂管理,也不支持有效可视化复杂的量子实验结果。在本文中,我们介绍了量子比特控制存储与可视化(QubiCSV)平台,该平台专门设计用于满足量子计算研究的需求,专注于量子比特控制系统中校准和表征数据的存储与分析。作为一个开源工具,QubiCSV促进了量子计算的高效数据管理,为数据存储提供数据版本控制功能,并允许研究人员和程序员实时与量子比特进行交互。开发了具有洞察力的可视化功能来解释复杂的量子实验并优化量子比特性能。QubiCSV不仅简化了量子比特控制系统数据的处理,还通过直观的可视化功能改善了用户体验,使其成为量子计算领域研究人员的宝贵资产。