516 citations · 688 across the 9 of their papers we have counts for
3 papers · 1 filter
Modelling Non-Markovian Quantum Processes with Recurrent Neural Networks
Leonardo Banchi, Edward Grant, Andrea Rocchetto +1
Quantum systems interacting with an unknown environment are notoriously difficult to model, especially in presence of non-Markovian and non-perturbative effects. Here we introduce…
Approximating Hamiltonian dynamics with the Nyström method
Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto +3
Simulating the time-evolution of quantum mechanical systems is BQP-hard and expected to be one of the foremost applications of quantum computers. We consider classical algorithms f…
Learning DNFs under product distributions via μ-biased quantum Fourier sampling
Varun Kanade, Andrea Rocchetto, Simone Severini
We show that DNF formulae can be quantum PAC-learned in polynomial time under product distributions using a quantum example oracle. The best classical algorithm (without access to…