28 citations · 72 across the 14 of their papers we have counts for
16 papers
Entanglement dynamics after quenches with inhomogeneous Hamiltonians
Andrea Di Pasquale, Federico Rottoli, Vincenzo Alba
We investigate entanglement dynamics in bipartite systems governed by inhomogeneous Hamiltonians of the form , where acts only on the left or right region…
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…
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…
Transmon qubit modeling and characterization for Dark Matter search
R. Moretti, D. Labranca, P. Campana +21
This study presents the design, simulation, and experimental characterization of a superconducting transmon qubit circuit prototype for potential applications in dark matter detect…
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…
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…
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…
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…
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…
Benchmarking machine learning models for quantum state classification
Edoardo Pedicillo, Andrea Pasquale, Stefano Carrazza
Quantum computing is a growing field where the information is processed by two-levels quantum states known as qubits. Current physical realizations of qubits require a careful cali…
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…
Towards an open-source framework to perform quantum calibration and characterization
Andrea Pasquale, Stavros Efthymiou, Sergi Ramos-Calderer +3
In this proceedings we present Qibocal, an open-source software package for calibration and characterization of quantum processing units (QPUs) based on the Qibo framework. Qibocal…
Product Jacobi-Theta Boltzmann machines with score matching
Andrea Pasquale, Daniel Krefl, Stefano Carrazza +1
The estimation of probability density functions is a non trivial task that over the last years has been tackled with machine learning techniques. Successful applications can be obt…
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…
Quantum simulation with just-in-time compilation
Stavros Efthymiou, Marco Lazzarin, Andrea Pasquale +1
Quantum technologies are moving towards the development of novel hardware devices based on quantum bits (qubits). In parallel to the development of quantum devices, efficient simul…
An open-source modular framework for quantum computing
Stefano Carrazza, Stavros Efthymiou, Marco Lazzarin +1
In this proceedings we describe the current development status and recent technical achievements of Qibo, an open-source framework for quantum simulation. After a concise overview…