6 citations · 11 across the 8 of their papers we have counts for
3 papers · 1 filter
A Primer on Quantum Machine Learning
Su Yeon Chang, M. Cerezo
Quantum machine learning (QML) is a computational paradigm that seeks to apply quantum-mechanical resources to solve learning problems. As such, the goal of this framework is to le…
Moments of Quantum Channel Ensembles
Matthew Duschenes, Diego García-Martín, Zoë Holmes +1
Moments of ensembles of unitaries play a central role in quantum information theory as they capture the statistical properties of dynamics of systems with some form of randomness.…
Simulating quantum circuits with arbitrary local noise using Pauli Propagation
Armando Angrisani, Antonio A. Mele, Manuel S. Rudolph +2
We present a polynomial-time classical algorithm for estimating expectation values of arbitrary observables on typical quantum circuits under any incoherent local noise, including…