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20222026
most citedQibolab: an open-source hybrid quantum operating system

16 citations · 39 across the 14 of their papers we have counts for

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quant-ph2026

MPStab: an hybrid stabilizers tensor-network quantum circuit simulator

Giulio Crognaletti, Mattia Robbiano, Michele Grossi +1

The development of techniques for simulating quantum systems using classical computers is a paramount task for two primary reasons: i) there exist configurations for which classica…

quant-ph2025

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…

quant-ph2024

Qibocal: an open-source framework for calibration of self-hosted quantum devices

Andrea Pasquale, Edoardo Pedicillo, Juan Cereijo +16

Calibration of quantum devices is fundamental to successfully deploy quantum algorithms on current available quantum hardware. We present Qibocal, an open-source software library t…

quant-ph2024

Strategies for optimizing double-bracket quantum algorithms

Li Xiaoyue, Matteo Robbiati, Andrea Pasquale +4

Recently double-bracket quantum algorithms have been proposed as a way to compile circuits for approximating eigenstates. Physically, they consist of appropriately composing evolut…

quant-ph2024

An open-source framework for quantum hardware control

Edoardo Pedicillo, Alessandro Candido, Stavros Efthymiou +7

The development of quantum computers needs reliable quantum hardware and tailored software for controlling electronics specific to various quantum platforms. Middleware is a type o…

quant-ph2024

Double-bracket quantum algorithms for high-fidelity ground state preparation

Matteo Robbiati, Edoardo Pedicillo, Andrea Pasquale +13

Ground state preparation is a central application for quantum computers but remains challenging in practice. In this work, we quantitatively investigate the performance and gate co…

quant-ph2024★ 1 cited

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…

quant-ph2024★ 8 cited

Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting

Alessandro D'Elia, Boulos Alfakes, Anas Alkhazaleh +19

In this paper we report the use of superconducting transmon qubit in a 3D cavity for quantum machine learning and photon counting applications. We first describe the realization an…

quant-ph2023★ 2 cited

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…

quant-ph2023★ 16 cited

Qibolab: an open-source hybrid quantum operating system

Stavros Efthymiou, Alvaro Orgaz-Fuertes, Rodolfo Carobene +13

We present Qibolab, an open-source software library for quantum hardware control integrated with the Qibo quantum computing middleware framework. Qibolab provides the software laye…

quant-ph2023★ 9 cited

Multi-variable integration with a variational quantum circuit

Juan M. Cruz-Martinez, Matteo Robbiati, Stefano Carrazza

In this work we present a novel strategy to evaluate multi-variable integrals with quantum circuits. The procedure first encodes the integration variables into a parametric circuit…

quant-ph2023★ 2 cited

Determining probability density functions with adiabatic quantum computing

Matteo Robbiati, Juan M. Cruz-Martinez, Stefano Carrazza

The two main approaches to quantum computing are gate-based computation and analog computation, which are polynomially equivalent in terms of complexity, and they are often seen as…

quant-ph2022★ 1 cited

A quantum analytical Adam descent through parameter shift rule using Qibo

Matteo Robbiati, Stavros Efthymiou, Andrea Pasquale +1

In this proceedings we present quantum machine learning optimization experiments using stochastic gradient descent with the parameter shift rule algorithm. We first describe the gr…