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School of Informatics, University of Edinburgh, Edinburgh, UK, Fujitsu Research of Europe Ltd., United Kingdom
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Quantum graph neural networks can now achieve scalability and expressivity guarantees, paving the way for practical applications in complex relational data tasks.
Forward gradient estimators can train quantum neural networks orders of magnitude more efficiently than conventional methods, revolutionizing gradient estimation in PQCs.