From the 1 of 11 linked papers with an AI index.
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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…
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.
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…
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…
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…