3.8 Proceedings Paper

Modular software for real-time quantum control systems

出版社

IEEE COMPUTER SOC
DOI: 10.1109/QCE53715.2022.00077

关键词

real-time control systems; modular software; software portability; quantum computing

资金

  1. EPiQC, an NSF Expeditions in Computing [1832377]
  2. Office of the Director of National Intelligence -Intelligence Advanced Research Projects Activity through an ArmyResearch Office [W911NF-16-10082]
  3. U.S. Department of Energy (DOE), Office of Advanced Scientific Computing Research [DE-SC0019294]
  4. DOE Basic Energy Sciences award [DE-0019449]
  5. NSF STAQ project [1818914]
  6. Direct For Computer & Info Scie & Enginr
  7. Division of Computing and Communication Foundations [1832377] Funding Source: National Science Foundation
  8. U.S. Department of Energy (DOE) [DE-SC0019294] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

Real-time control software and hardware are crucial for operating quantum computers. This study proposes a systematic design strategy for modular real-time quantum control software, which can significantly reduce the execution time overhead of kernels without increasing the binary size. The experiment demonstrates the modularity and portability of the software architecture on two different ion-trap quantum systems.
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 633% 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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