Modular Software for Real-Time Quantum Control Systems

October 25, 2022 Β· Declared Dead Β· πŸ› International Conference on Quantum Computing and Engineering

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Authors Leon Riesebos, Brad Bondurant, Jacob Whitlow, Junki Kim, Mark Kuzyk, Tianyi Chen, Samuel Phiri, Ye Wang, Chao Fang, Andrew Van Horn, Jungsang Kim, Kenneth R. Brown arXiv ID 2210.14341 Category quant-ph: Quantum Computing Cross-listed cs.SE Citations 13 Venue International Conference on Quantum Computing and Engineering Last Checked 5 months ago
Abstract
Real-time control software and hardware is essential for operating quantum computers. In particular, the software plays a crucial role in bridging the gap between quantum programs and the quantum system. Unfortunately, current control software is often optimized for a specific system at the cost of flexibility and portability. We propose a systematic design strategy for modular real-time quantum control software and demonstrate that modular control software can reduce the execution time overhead of kernels by 63.3% on average while not increasing the binary size. Our analysis shows that modular control software for two distinctly different systems can share between 49.8% and 91.0% of covered code statements. To demonstrate the modularity and portability of our software architecture, we run a portable randomized benchmarking experiment on two different ion-trap quantum systems.
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