From the 1 of 7 linked papers with an AI index.
7 papers
Qibocal: an open-source framework for calibration of self-hosted quantum devices
Andrea Pasquale, Edoardo Pedicillo, Juan Cereijo +16
The paper introduces Qibocal, an open-source library that helps calibrate and characterize superconducting quantum devices within the Qibo framework.
Designing a Machine Learning-Driven, Cross-Hardware Emulator for Noisy Quantum Computers with Gate-Based Protocols
Matthew Ho, Jun Yong Khoo, Adrian M. Mak +1
Quantum computer emulators model the behavior and error rates of specific quantum processors. Without accurate noise models in these emulators, it is challenging for users to optim…
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…
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…
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…
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…