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Quantum Machine Learning
Quantum Simulation
Functional Simulation of Real-Time Quantum Control Software
arXiv
Authors: Leon Riesebos, Kenneth R. Brown
Year
2022
Paper ID
58026
Status
Preprint
Abstract Read
~2 min
Abstract Words
108
Citations
N/A
Abstract
Modern quantum computers rely heavily on real-time control systems for operation. Software for these systems is becoming increasingly more complex due to the demand for more features and more real-time devices to control. Unfortunately, testing real-time control software is often a complex process, and existing simulation software is not usable or practical for software testing. For this purpose, we implemented an interactive simulator that simulates signals at the application programming interface level. We show that our simulation infrastructure simulates kernels 6.9 times faster on average compared to execution on hardware, while the position of the timeline cursor is simulated with an average accuracy of 97.9% when choosing the appropriate configuration.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2022 reference point for readers tracking recent quantum research.
- Modern quantum computers rely heavily on real-time control systems for operation.
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