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. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Master's degree in Computer Science and Engineering - Enrollment from 2025/2026

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
4 modules 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   activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
Final exam
24
E
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
2 modules among the following
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
6
B
INF/01
Between the years: 1°- 2°
3 modules among the following
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
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°
12
D
-
Between the years: 1°- 2°
English B2
3
F
-
Between the years: 1°- 2°
Further activities
3
F
-

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 (2023/2024)

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 1

The teaching is organized as follows:

Teoria

Credits

5

Period

Semester 2

Academic staff

Alessandra Di Pierro

Lessons timetable
Laboratorio

Credits

1

Period

Semester 2

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

Basics of linear algebra, probability and statistics

Program

------------------------
UL: Teoria
------------------------
Part I: Quantum Computing
Basic notions from quantum mechanics and linear algebra
The qubit
Quantum Computability: The quantum circuit model, Universality
Quantum Algorithms and Complexity: The BQP class, Phase estimation, Factoring, Quantum search
NISQ Computers
Demonstration in Lab
Part II: Quantum Software
Quantum Languages
Quantum Compilation
Quantum Machine Learning
------------------------
UL: Laboratorio
------------------------
Part I: Quantum Computing
Basic notions from quantum mechanics and linear algebra
The qubit
Quantum Computability: The quantum circuit model, Universality
Quantum Algorithms and Complexity: The BQP class, Phase estimation, Factoring, Quantum search
Part II: Quantum Software
Quantum Languages
Quantum Compiling
Quantum 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

UL: Theory

Lectures on the blackboard
------------------------
UL: Laboratory

Lessons on the IBM Qiskit platform
------------------------

Learning assessment procedures

------------------------
UL: Teoria
------------------------
Written exam: Test composed by five problems to be solved in two hours.
------------------------
UL: Laboratorio
------------------------
Project to be implemented on Qiskit

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

------------------------
UL: Theory
score out of thirty
------------------------
UL: Laboratory
score out of thirty

Criteria for the composition of the final grade

Normalized average of the two scores

Exam language

------------------------ UL: Teoria ------------------------ Italiano/Inglese ------------------------ UL: Laboratorio ------------------------ Italiano/Inglese