Showing quant-phShow all
3 papers · 1 filter
quant-ph2026
Quantum Kernels are Spectral Tensor Networks
Erik M. Ã sgrim, Stefano Markidis
Quantum kernels admit Fourier representations whose frequencies are determined by the data-encoding gates of the underlying feature map. We show that entangling tensor kernels are…
quant-ph2026
When Noisy Quantum Order Finding Remains Recoverable for Shor's Algorithm
Qingxin Yang, Stefano Markidis
Order finding is the core subroutine of Shor's algorithm. On NISQ hardware, phase estimation output distributions are often distorted by noise, making correct order recovery diffic…
quant-ph2026
A Continuous-Variable Quantum Fourier Layer: Applications to Filtering and PDE Solving
Paolo Marcandelli, Stefano Mariani, Martina Siena +1
Fourier representations play a central role in operator learning methods for partial differential equations and are increasingly being explored in quantum machine learning architec…