Graph algorithms with neutral atom quantum processors

C Dalyac, L Leclerc, L Vignoli, M Djellabi… - The European Physical …, 2024 - Springer
Neutral atom technology has steadily demonstrated significant theoretical and experimental
advancements, positioning itself as a front-runner platform for running quantum algorithms …

Equivariant quantum circuits for learning on weighted graphs

A Skolik, M Cattelan, S Yarkoni, T Bäck… - npj Quantum …, 2023 - nature.com
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 feature maps for graph machine learning on a neutral atom quantum processor

B Albrecht, C Dalyac, L Leclerc, L Ortiz-Gutiérrez… - Physical Review A, 2023 - APS
Using a quantum processor to embed and process classical data enables the generation of
correlations between variables that are inefficient to represent through classical …

Equivariant quantum graph circuits

P Mernyei, K Meichanetzidis… - … Conference on Machine …, 2022 - proceedings.mlr.press
We investigate quantum circuits for graph representation learning, and propose equivariant
quantum graph circuits (EQGCs), as a class of parameterized quantum circuits with strong …