Introduction Objectives and competences Admission and pre-enrolment Recommended applicant profile and admission requirements Pre-enrolment Admission list Course curriculum Course curriculum Credit recognition Final project Placements Teaching methodology and assessment system Organization and teaching methodology Assessment system Career opportunities Support for studying Grants and financial aid Support and guidance Mobility Enrolment Calendar, timetables, classrooms and assessment Academic calendar Timetables Assessment Course plans and teaching staff Course plans Teaching staff Course details
Subject Type Language Credits Specialization: Quantum Science and Technology Advanced Quantum Information Theory OP 1st semester 3 Advanced Quantum Mechanics CM 1st semester 6 Advanced Quantum Optics with Applications OP 1st semester 3 Condensed Matter Physics CM 1st semester 6 Electronics for Quantum Technology Laboratory OP 1st semester 3 Entrepreneurship and Innovation CM 2nd semester 3 Estades de Recerca OP 1st semester 2nd semester 3 Final Project CM 2nd semester 24 From Cooling and Trapping of Neutral Atoms to Bose-Einstein Condensates OP 1st semester 3 Laboratori Avançat de Física Quàntica OP 1st semester 3 Machine Learning for Classical and Quantum Systems OP 1st semester 3 Monte Carlo Methods OP 1st semester 3 Placement / Research Project OP 1st semester 2nd semester 3 Placement / Research Project OP 1st semester 2nd semester 6 Quantum Communications and Cryptography OP 1st semester 3 Quantum Computing OP 1st semester 3 Quantum Detection OP 1st semester 3 Quantum Field Theory OP 1st semester 3 Quantum Information Theory CM 1st semester 6 Quantum Light-Matter Interfaces: Modern Systems and Applications OP 2nd semester 3 Quantum Materials OP 1st semester 3 Quantum Optics OP 1st semester 3 Quantum Simulators with Ultracold Quantum Gases OP 1st semester 3 Quantum Statistical Inference OP 1st semester 3 Quantum Technologies with Superconducting Devices OP 1st semester 3 Solid State Simulation Techniques OP 1st semester 3 Tensor Networks OP 1st semester 3
