CAFQA: A classical simulation bootstrap for variational quantum algorithms
Classical computing plays a critical role in the advancement of quantum frontiers in the NISQ
era. In this spirit, this work uses classical simulation to bootstrap Variational Quantum …
era. In this spirit, this work uses classical simulation to bootstrap Variational Quantum …
Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems
Modern software systems often exhibit numerous configuration options to tailor them to user
requirements, including the system's performance behavior. Performance models derived …
requirements, including the system's performance behavior. Performance models derived …
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems
Bayesian Optimization (BO) is an efficient method for finding optimal cloud configurations for
several types of applications. On the other hand, Machine Learning (ML) can provide helpful …
several types of applications. On the other hand, Machine Learning (ML) can provide helpful …
MALIBOO: When machine learning meets Bayesian Optimization
B Guindani, D Ardagna… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
Bayesian optimization (BO) is an efficient method for finding optimal cloud computing
configurations for several types of applications. On the other hand, Machine Learning (ML) …
configurations for several types of applications. On the other hand, Machine Learning (ML) …