Piano didattico / Teaching plan
Foundations of Quantum Computer Science
6 CFU: 30 lecture-hours + 15 training-hours
It provides a concise introduction to quantum mechanics with the modern information language. The essential background in quantum mechanics of closed and open systems is provided. The main physical phenomena exploited in quantum science and technology are described and analyzed. The course consists of the modules
- Quantum Phenomenology (1 CFU FIS/02 + 1 CFU FIS/03)
- Quantum mechanics for computation (4 CFU FIS/02-FIS/03)
From classical to quantum information
6 CFU: 30 lecture-hours + 15 laboratory-hours
The roadmap from classical information to quantum computation is exploited, from the main concepts in classical computer science to their quantum counterparts. Demonstrations of protocols are executed on a small quantum computer. A simple introduction to the essential quantum hardware for state processing and measurement is provided. The course consists of the modules
- Classical Computation and Communication (2 CFU INF/01)
- Quantum computers, protocols, and hardware (4 CFU FIS/03)
Quantum communication
6 CFU: 36 lecture-hours
A simple introduction to quantized continuous variables is provided. Paradigmatic applications to quantum protocols for communication and cryptography are analyzed. Quantum coding theory extending classical communication concepts is introduced. The course consists of the modules
- Quantized continuous variables (2 CFU FIS/02-FIS/03)
- Basic quantum communication (2 CFU FIS/03)
- Elements of quantum information theory (2 CFU FIS/03-FIS/02)
Quantum programming and Artificial Intelligence
6 CFU: 30 lecture-hours + 15 laboratory-hours
Elements of programming in Python are provided and used to introduce the Qiskit quantum software. Elements of Machine Learning for applications to quantum technologies are provided. The course consists of the modules
- Python and Qiskit programming (2+1 CFU INF/01)
- Machine Learning for Quantum (3 CFU INF/01)
Metrology and sensing
6 CFU: 36 lecture-hours
Elements of the theory of random variables and stochastic processes are provided. An introduction to classical metrology and aspects of quantum sensing completes the course. The course consists of the modules
- Random Variables and Stochastic Processes (3 CFU MAT/07)
- Metrology and Quantum Sensing (3 CFU FIS/03-ING-INF/07)
Management and technological transfer
6 CFU: 36 lecture-hours
Management, high-tech entrepreneurship, design thinking, growth hacking, business plan, corporate culture. Research Valorization, Knowledge Transfer, and Innovation Management. The course consists of the modules
- Elements of Management (3 CFU SECS-P/08)
- Technology Transfer (3 CFU FIS/03-ING-IND/35)
Selected topics in quantum technologies
6 CFU: 36 lecture-hours
Three monographic modules are to be chosen among the following 12 optional ones:
- Quantum materials and device fabrication technologies
- Quantum Machine Learning
- Quantum Algorithms
- Quantum networking, quantum and post-quantum cybersecurity
- Optimal control for quantum technologies
- Quantum Technologies for Sustainable Development
- Quantum Sensing II
- Electronics for quantum CMOS architectures
- Superconducting electronics for quantum architectures
- Computer-aided design of superconducting quantum circuits.
- Semiconductor-based quantum devices
- Atomic-based quantum devices for sensing
Internship
12-16 CFU
Final project
2-6 CFU
Discussion of a final project relating to the work carried out during the internship.
