KNOWLEDGE, INTERACTION AND INTELLIGENT SYSTEMS-2

Academic year
2021/2022 Syllabus of previous years
Official course title
KNOWLEDGE, INTERACTION AND INTELLIGENT SYSTEMS-2
Course code
PHD157-2 (AF:364607 AR:193150)
Modality
On campus classes
ECTS credits
2
Degree level
Corso di Dottorato (D.M.45)
Educational sector code
INF/01
Period
Annual
Course year
1
Where
VENEZIA
Moodle
Go to Moodle page
The course is part of the PhD program in Computer Science. It is specific for students belonging to the KIIS center, but open to all.

The course will lead students to:
- master the basic concepts of quantum computation and understand the difference with classical computation models;
- understand some quantum algorithms and the fundamental concepts of quantum algorithm design and understand the origin of the quantum speedup;
- understand some theoretical and technological limits of quantum computing systems

Students are expected to master the fundamental concepts of linear algebra and be familiar with classical computational models. No prior knowledge of quantum physics is required.
- Diachronic introduction to quantum mechanics
- Formalism: State space, unitary evolution, Bra and Ket
- Double slit, quantum eraser, delayed choice quantum eraser
- entanglement and Bell's inequality
- Qbit, and quantum gates
- Quantum Teleportation
- Deutsch-Jozsa algorithm
- Quantum search: Grover's algorithm
- Quantum Fourier Transform: Shor's algorithm
- Quantum Fourier Transform: hidden abelian subgroup
- Superdense coding, HHL algorithm and quantum machine learning
- Quantum error correction
- Quantum key distribution
- Quantum reconstructon
M. A. Nielsen, I. L. Chuang (2010). Quantum Computation and Quantum Information. Cambridge University Press
Students will be required to prepare a seminar on an assigned topic
Frontal lessons on the blackboard
English
oral
Definitive programme.
Last update of the programme: 14/11/2021