65 citations · 125 across the 17 of their papers we have counts for
3 papers · 1 filter
Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor
Boris Albrecht, Constantin Dalyac, Lucas Leclerc +10
Using a quantum processor to embed and process classical data enables the generation of correlations between variables that are inefficient to represent through classical computati…
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Jonas Landman, Slimane Thabet, Constantin Dalyac +2
Many applications of quantum computing in the near term rely on variational quantum circuits (VQCs). They have been showcased as a promising model for reaching a quantum advantage…
Embedding the MIS problem for non-local graphs with bounded degree using 3D arrays of atoms
Constantin Dalyac, Loic Henriet
In the past years, many quantum algorithms have been proposed to tackle hard combinatorial problems. These algorithms, which have been studied in depth in complexity theory, are at…