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Quantum computing

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 Ordinario ING-INF/05 15 0 0 0 5
Teaching assistant
Espandi

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).
Modalità di esame:
Exam:
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam:
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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