3 citations · 5 across the 3 of their papers we have counts for
3 papers
Qiboml: towards the orchestration of quantum-classical machine learning
Matteo Robbiati, Andrea Papaluca, Andrea Pasquale +12
We present Qiboml, an open-source software library for orchestrating quantum and classical components in hybrid machine learning workflows. Building on Qibo's quantum computing cap…
Quantum noise modeling through Reinforcement Learning
Simone Bordoni, Andrea Papaluca, Piergiorgio Buttarini +3
In the current era of quantum computing, robust and efficient tools are essential to bridge the gap between simulations and quantum hardware execution. In this work, we introduce a…
Real-time error mitigation for variational optimization on quantum hardware
Matteo Robbiati, Alejandro Sopena, Andrea Papaluca +1
In this work we put forward the inclusion of error mitigation routines in the process of training Variational Quantum Circuit (VQC) models. In detail, we define a Real Time Quantum…