NeurIPS 2020

Inductive Quantum Embedding

Meta Review

The paper presents an extension of the quantum embeddings of (Gang et al., 2019) -- embeddings that allow for logical expressions to be evaluated. The main contributions are to allow for inductive learning of quantum embeddings, and the design of an algorithm that is significantly faster than the previous one. The experiments show promising results on a fine-grained classification task. The reviewers agreed that the paper presents a solid contribution and the rebuttal answered the reviewers concerns.