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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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