Number of hours
- Lectures 6.0
- Projects 4.5
- Tutorials 6.0
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 1.0
Goal(s)
The objective of this course is to introduce students to several fundamental concepts of quantum computing and to present quantum algorithms capable of performing operations more efficiently than classical computers. As a practical application, students will explore using the Quantum Amplitude Estimation algorithm as an alternative to a classical Monte Carlo algorithm for estimating the price of a call option.
Responsible(s)
Mnacho ECHENIM
Content(s)
Postulates of Quantum Mechanics
Qubits
Operations on Qubits
Measuring a Quantum System
Multi-Qubit Quantum Systems
Operations, Measurements, and Entanglement in Multi-Qubit Systems
Introduction to Quantum Algorithms
First Examples of Quantum Algorithms
Application: Estimating the Price of a Call Option
- Quantum Amplitude Estimation Algorithm
- Storing a Probability Distribution in a Quantum State
- Representing a Linear Function in a Quantum State
- A Quantum Circuit for Estimating the Price of a Call Option
Linear algebra
Test
Evaluation : Projet (rendu du code et des résultats) (NC)
Resit : Projet (rendu du code et des résultats) (NC)
Project
Calendar
The course exists in the following branches:
- Curriculum - Financial Engineering - Semester 8
Additional Information
Course ID : 4MMQPO
Course language(s): 
You can find this course among all other courses.
Bibliography
M. Nielsen, I. Chuang. Quantum Computation and Quantum Information
R. de Wolf. Quantum Computing: Lecture Notes
G. Brassard et al: Quantum Amplitude Amplification and Estimation