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

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

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-ph20241 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-ph20248 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

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…