Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2026/2027 A.A. 2025/2026

This information is intended exclusively for future freshmen who will enroll for the 2025/2026 academic year.
If you are already enrolled in this course of study, consult the information available on the course page:

Master's degree in Computer Science and Engineering - Enrollment until 2024/2025

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
Four modules to be chosen among the following
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05

2° Year   It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
Final exam
24
E
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Two modules to be chosen mong the following
- A.A. 2025/2026 Web applications not activated
- A.A. 2026/2027 Automated software verification not activated
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
Between the years: 1°- 2°
Three modules to be chosen among the following
- A.A. 2025/2026 Web applications not activated
- A.A. 2026/2027 Automated software verification not activated
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
Between the years: 1°- 2°
Further language skills (students who didn't take B2 ENG exam during bachelor's degree have to take it during master's degree. Who did take it during bachelor's can take: ENG (C1, C2), SPA (B1, B2, C1, C2), FRA (B1, B2, C1, C2), TED (B1, B2, C1, C2)
3
F
-
Between the years: 1°- 2°
Further activities
3
F
-
Between the years: 1°- 2°
12
D
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Quantum Computing (2025/2026)

Teaching code

4S008917

Credits

6

Coordinator

Alessandra Di Pierro

Language

Italian

Also offered in courses:

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Courses Single

Authorized

MoodleMoodle Seminars 0

The teaching is organized as follows:

Teoria

Credits

5

Period

2nd semester

Academic staff

Alessandra Di Pierro

Lessons timetable
Laboratorio

Credits

1

Period

2nd semester

Academic staff

Alessandra Di Pierro

Lessons timetable

Learning objectives

This course aims at introducing the basic concepts of Quantum Computing via the study of the physical phenomena characterising this paradigm with respect to the classical one. The course is articulated into three main parts: 1) the study of the quantum circuit model and its universality; 2) the study of the most important quantum techniques for the design of algorithms and their analysis; 3) the introduction of various quantum programming languages and of some of the existing quantum software platforms. it is expected that the students who attend the course, will be able at the end to autonomously undertake more specialised studies in the quantum research field of their choice.

Prerequisites and basic notions

Linear Algebra Basics

Program

Part I: Quantum Computing
Basic notions from quantum mechanics and linear algebra
The qubit
Quantum Computability: The quantum circuit model, Universality and universal sets of gates.
Quantum Algorithms and Complexity: The BQP class, Phase estimation, Factoring, Quantum search
NISQ Computers
Demonstration in Lab
Part II: Quantum Software
Quantum Programming Languages
Quantum Compilation
Quantum Algorithms for Machine Learning

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Classroom lessons with the help of the blackboard and the projector

Learning assessment procedures

Written exam

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Learning the basics and being able to apply them to simple problems

Criteria for the composition of the final grade

The final grade is calculated as the average of the written grade and the evaluation of a project to be carried out using quantum software platforms available on the cloud.

Exam language

Italiano e inglese