3 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
QiboAgent: a practitioner's guideline to open source assistants for Quantum Computing code development
Lorenzo Esposito, Andrea Papaluca, Stefano Carrazza
We introduce QiboAgent, a reference implementation designed to serve as a practitioner's guideline for developing specialized coding assistants in Quantum Computing middleware. Add…
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…
Beyond full statevector simulation with Qibo
Andrea Pasquale, Andrea Papaluca, Renato M. S. Farias +3
In this proceedings, we present two new quantum circuit simulation protocols recently added as optional backends to Qibo, an open-source framework for quantum simulation, hardware…
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…