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Graph algorithms with neutral atom quantum processors
Neutral atom technology has steadily demonstrated significant theoretical and experimental
advancements, positioning itself as a front-runner platform for running quantum algorithms …
advancements, positioning itself as a front-runner platform for running quantum algorithms …
Equivariant quantum circuits for learning on weighted graphs
Variational quantum algorithms are the leading candidate for advantage on near-term
quantum hardware. When training a parametrized quantum circuit in this setting to solve a …
quantum hardware. When training a parametrized quantum circuit in this setting to solve a …
Quantum feature maps for graph machine learning on a neutral atom quantum processor
Using a quantum processor to embed and process classical data enables the generation of
correlations between variables that are inefficient to represent through classical …
correlations between variables that are inefficient to represent through classical …
Equivariant quantum graph circuits
We investigate quantum circuits for graph representation learning, and propose equivariant
quantum graph circuits (EQGCs), as a class of parameterized quantum circuits with strong …
quantum graph circuits (EQGCs), as a class of parameterized quantum circuits with strong …