The Quantum Distance-based classifier is a technique inspired by the classical k-Nearest Neighbors that leverage quantum properties to perform prediction. The package has been implemented in Qiskit

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Implementation of the Quantum Distance Based Classifier presented by Schuld, Fingerhuth and Petruccione in the paper ���Implementing a distance-based classifier with an interference circuit”

A template for the thesis cover of University of Pisa

This repo shows an integration example Flutter+Stripe Connetct+3dSecure (SCA)

Final Project Parallel and Distributed Systems: Paradigms and Models (2018-19)

Intelligent Systems for Pattern Recognition's Assignments

COBrA - Fair COntent Trade on the BlockchAin. The goal of this assignment is to implement a decentralized content publishing service, based on the blockchain technology, which enables the authors o…

A Graph Analyzer which exploits the WebGraph library (http://webgraph.di.unimi.it) to allow statistical analysis on large graphs that normally could not be processed by commodity computers.

Docker Container with VsCode. Tested on Ubuntu 18.04

A local simulator of Chord protocol and algorithm for peer-to-peer distributed hash table

VisualBlock has been developed to overcome the lack of a tool that, once identified an interesting region of a graph, would highlight some nodes, maybe even the neighbors and the edges that link th…