Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case

arXiv:2402.15542v1 Announce Type: cross
Abstract: With the advent of the Post-Moore era, the scientific community is faced with the challenge of addressing the demands of current data-intensive machine learning applications, which are the cornerstone of urgent analytics in distributed computing. Quantum machine learning could be a solution for the increasing demand of urgent analytics, providing potential theoretical speedups and increased space efficiency. However, challenges such as (1) the encoding of data from the classical to the quantum domain, (2) hyperparameter …

abstract analytics applications arxiv case challenge community computing cs.dc cs.et cs.lg current data distributed distributed computing edge iot machine machine learning machine learning applications quantum solution streaming type