2.5k citations · 12.5k across the 36 of their papers we have counts for
3 papers · 2 filters
Spectral methods: crucial for machine learning, natural for quantum computers?
Vasilis Belis, Joseph Bowles, Rishabh Gupta +2
This article presents an argument for why quantum computers could unlock new methods for machine learning. We argue that spectral methods, in particular those that learn, regularis…
Probabilistic modeling over permutations using quantum computers
Vasilis Belis, Giulio Crognaletti, Matteo Argenton +2
Quantum computers provide a super-exponential speedup for performing a Fourier transform over the symmetric group, an ability for which practical use cases have remained elusive so…
Group Fourier filtering of quantum resources in quantum phase space
Luke Coffman, N. L. Diaz, Martin Larocca +2
Recently, it has been shown that group Fourier analysis of quantum states, i.e., decomposing them into the irreducible representations (irreps) of a symmetry group, enables new way…