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20222026
most citedAn open-source modular framework for quantum computing

17 citations · 32 across the 14 of their papers we have counts for

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Showing 2024 · quant-phShow all

9 papers · 2 filters

quant-ph2024

Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks

Jun Yong Khoo, Chee Kwan Gan, Wenjun Ding +3

Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investi…

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★ 1 cited

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…

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★ 3 cited

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…

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…