Quantum computing and AI (to be updated)

DESCRIPTION

1. Introduction to quantum information and computation. Qubits, quantum circuits and foundations of quantum information processing.
2. Quantum technologies and hardware related issues. Quantum supremacy.
3. Quantum noise and error correction methods.
4. Quantum algorithms:

•       The Deutsch-Jossa algorithm and its consequences.
•       Grover’s algorithm and applications on search topics.
•       Shor’s algorithm and quantum cryptography.
•       Quantum Fourier Transform.

    5.   AI related issues: Quantum computing and pattern recognition. Modern algorithms and applications to Biology related patterns.
    6.   Further issues on Quantum AI (short)

 

DETAILS

Course type: Tutorial

Duration

Topics 1-3: 1,5 hours

Topic 4: 1 hour

Topic 5-6: 1,5 hours

Institution of lecturer: Aristotle University of Thessaloniki