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IBM-backed study claims quantum error correction can cut qubit needs

Researchers backed by IBM have published results showing that a specific class of quantum error-correcting codes can protect ...
IEEE

Message-Passing Under Heterophily for Graph Classification

Abstract: Graph Convolutional Networks (GCNs) are powerful models for learning representations of entities and their relationships across diverse domains. Classical GCNs are built on the homophily ...
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...