Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Abstract: Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then ...
Quantum computers threaten to decrypt the Public-key algorithms that protect confidential data. For many organizations, securing against the quantum threat has become synonymous with post-quantum ...
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