19 citations · 34 across the 3 of their papers we have counts for
4 papers · 1 filter
Graph Algorithms with Neutral Atom Quantum Processors
Constantin Dalyac, Lucas Leclerc, Louis Vignoli +9
Neutral atom technology has steadily demonstrated significant theoretical and experimental advancements, positioning itself as a front-runner platform for running quantum algorithm…
Enhancing Graph Neural Networks with Quantum Computed Encodings
Slimane Thabet, Romain Fouilland, Mehdi Djellabi +4
Transformers are increasingly employed for graph data, demonstrating competitive performance in diverse tasks. To incorporate graph information into these models, it is essential t…
Quantum evolution kernel : Machine learning on graphs with programmable arrays of qubits
Louis-Paul Henry, Slimane Thabet, Constantin Dalyac +1
The rapid development of reliable Quantum Processing Units (QPU) opens up novel computational opportunities for machine learning. Here, we introduce a procedure for measuring the s…
Robustness to spontaneous emission of a variational quantum algorithm
Loïc Henriet
We study theoretically the effects of dissipation on the performances of a variational quantum algorithm used to approximately solve a combinatorial optimization problem, the Maxim…