1.1k citations · 1.6k across the 6 of their papers we have counts for
6 papers
A case study of variational quantum algorithms for a job shop scheduling problem
David Amaro, Matthias Rosenkranz, Nathan Fitzpatrick +2
Combinatorial optimization models a vast range of industrial processes aiming at improving their efficiency. In general, solving this type of problem exactly is computationally int…
Variational quantum amplitude estimation
Kirill Plekhanov, Matthias Rosenkranz, Mattia Fiorentini +1
We propose to perform amplitude estimation with the help of constant-depth quantum circuits that variationally approximate states during amplitude amplification. In the context of…
Filtering variational quantum algorithms for combinatorial optimization
David Amaro, Carlo Modica, Matthias Rosenkranz +3
Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently. To make combinatorial optimization more…
Variational inference with a quantum computer
Marcello Benedetti, Brian Coyle, Mattia Fiorentini +2
Inference is the task of drawing conclusions about unobserved variables given observations of related variables. Applications range from identifying diseases from symptoms to class…
Hardware-efficient variational quantum algorithms for time evolution
Marcello Benedetti, Mattia Fiorentini, Michael Lubasch
Parameterized quantum circuits are a promising technology for achieving a quantum advantage. An important application is the variational simulation of time evolution of quantum sys…
Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack +1
Hybrid quantum-classical systems make it possible to utilize existing quantum computers to their fullest extent. Within this framework, parameterized quantum circuits can be regard…