2 papers
quant-ph2026
New perspectives on quantum kernels through the lens of entangled tensor kernels
Seongwook Shin, Ryan Sweke, Hyunseok Jeong
Quantum kernel methods are one of the most explored approaches to quantum machine learning. However, the structural properties and inductive bias of quantum kernels are not fully u…
quant-ph2026
Optimal algorithmic complexity of inference in quantum kernel methods
Elies Gil-Fuster, Seongwook Shin, Sofiene Jerbi +2
Quantum kernel methods are among the leading candidates for achieving quantum advantage in supervised learning. A key bottleneck is the cost of inference: evaluating a trained mode…