4 papers
Sparse Computations in Deep Learning Inference
Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos +25
The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are als…
Quantum Shadows: The Dining Information Brokers
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This article introduces the innovative Quantum Dining Information Brokers Problem, presenting a novel entanglement-based quantum protocol to address it. The scenario involves i…
Quantum Classification Outside the Promised Class
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This paper studies the important problem of quantum classification of Boolean functions from a entirely novel perspective. Typically, quantum classification algorithms allow us to…
A Quantum Algorithm for the Classification of Patterns of Boolean Functions
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This paper introduces a novel quantum algorithm that is able to classify a hierarchy of classes of imbalanced Boolean functions. The fundamental characteristic of imbalanced Boolea…