390 citations · 390 across the 2 of their papers we have counts for
2 papers
quant-ph2026
On Relationship Between Circuit Depth and Trainability of VQAs
Jan Michálek, Martin Friák, Petr Vašík
The training efficiency of Variational Quantum Algorithms (VQAs) is dictated by the geometry of their loss landscapes, which can be formally analysed by mapping these functions to…
cs.LG2022★ 390 cited
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…