01TAHIU

A.A. 2019/20

Course Language

Inglese

Course degree

Doctorate Research in Ingegneria Informatica E Dei Sistemi - Torino

Course structure

Teaching | Hours |
---|---|

Lezioni | 20 |

Teachers

Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
---|---|---|---|---|---|---|---|

Montrucchio Bartolomeo | Professore Associato | ING-INF/05 | 15 | 0 | 0 | 0 | 4 |

Teaching assistant

Context

SSD | CFU | Activities | Area context |
---|---|---|---|

*** N/A *** |

2019/20

PERIOD: JUNE
The course aims at introducing Quantum Computing, starting from an introduction to quantum mechanics up to
a description of how to use IBM Q quantum computers in order to execute simple quantum computing programs
directly on IBM hardware. The focus is on the relationship between quantum computation and computer
science. Being an introductory course it can be of interest for the Information and system engineering PhD
course and also for others, since Quantum Computing is expected to revolutionize research in all its aspects in
10-20 years. The course will be in English.

PERIOD: JUNE
The course aims at introducing Quantum Computing, starting from an introduction to quantum mechanics up to
a description of how to use IBM Q quantum computers in order to execute simple quantum computing programs
directly on IBM hardware. The focus is on the relationship between quantum computation and computer
science. Being an introductory course it can be of interest for the Information and system engineering PhD
course and also for others, since Quantum Computing is expected to revolutionize research in all its aspects in
10-20 years. The course will be in English.

Introduction to quantum mechanics. Dirac notation. Qubits. Entanglement. Quantum gates (CNOT, Toffoli and
others). Bloch sphere. Teleportation. IBM Q quantum computer and other quantum computers and emulators.
Advantages and limitations of quantum computing. Hybrid computing. Amplitude amplification. Grover’s
algorithm. Dense coding. Quantum-key distribution. Quantum radiosity. Physical implementation and
decoherence time (hint only). State of the art analysis and open problems. The final examination will be a
presentation by the PhD student on a research argument pertaining to the course.

Introduction to quantum mechanics. Dirac notation. Qubits. Entanglement. Quantum gates (CNOT, Toffoli and
others). Bloch sphere. Teleportation. IBM Q quantum computer and other quantum computers and emulators.
Advantages and limitations of quantum computing. Hybrid computing. Amplitude amplification. Grover’s
algorithm. Dense coding. Quantum-key distribution. Quantum radiosity. Physical implementation and
decoherence time (hint only). State of the art analysis and open problems. The final examination will be a
presentation by the PhD student on a research argument pertaining to the course.

The course will start on June 3, 2020 on Virtual Classroom (from 15,00 to 18,00).

The course will start on June 3, 2020 on Virtual Classroom (from 15,00 to 18,00).

© Politecnico di Torino

Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY

Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY