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An open-source data storage and visualization platform for collaborative qubit control

delete2024-09-30
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OA
AI
D
Devanshu Brahmbhatt
Y
Yilun Xu *
N
Neel Vora
L
Larry Chen
N
Neelay Fruitwala
G
Gang Huang
Q
Qing Ji
P
Phuc Nguyen *
DOI:10.1038/s41598-024-72584-9delete
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摘要

摘要

En 中文
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.
Keyword:
Quantum computing
Quantum control
Qubit visualization
Human-qubit interactions
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Scientific Reports 封面图
Scientific Reports
IF:
3.9
论文数:
28.3W
被引数:
83.5W

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U
University of Massachusetts Amherst
学者数:
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论文数: 8.9K
被引数: 19
L
Lawrence Berkeley National Laboratory
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论文数: 1.1W
被引数: 6.1W
U
united states department of energy (doe)
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论文数: 9.6W
被引数: 246
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