Introduction to quantum science and technology
QUANT-400 / 5 credits
Teacher(s): Ionescu Mihai Adrian, Savona Vincenzo, Macris Nicolas, Charbon Edoardo, Scarlino Pasquale, Carleo Giuseppe, Holmes Zoë
Language: English
Summary
This course provides all students with a broad view of the diverse aspects of the field: quantum physics, communication, computation, simulation, quantum hardware technologies, quantum sensing and metrology. The course will be an overview of frontiers of the domain and taught by multiple instructors
Content
Introduction (2 weeks):
- Overview of the frontiers of quantum science, technology and applications.
- First introduction to qubits, quantum states, measurements, evolution. Axiomatic formulation.
- Illustration with two level systems, Bloch sphere, Spin œ, and manipulation in magnetic fields. Heisenberg and spin Hamiltonians and elementary gates. Coherence times.
Communication, information and computation (4 weeks)
- Quantum communication: QKD, dense coding, teleportation.
- Circuit model of computation. Illustration with simple algorithms: Deutsch-Josza, Simon.
- Distributed models and protocols for computation.
- Introduction to quantum complexity theory (BQP, QMA, Kitaevâs theorem)
Quantum physics: selected topics (4 weeks):
- Hybrid quantum-classical algorithms (e.g. VQE, quantum ML, QAOA)
- Quantum simulation of physical systems (overview of exact and variational quantum algorithms)
- Introduction to qubit platforms (superconducting qubits, trapped ions, spin qubits).
Hardware technologies and applications (4 weeks):
- Single electron transistors (SET) and fabrication technologies
- Single electron memories (SEM)
- Hybrid CMOS-SET for analog and sensing functions at cryogenic temperatures
- The quantum stack, Quantum-classical interfaces
- From fidelity to electronic circuit specifications
- Cryogenic electronics to control quantum systems
- Quantum sensing & metrology
Keywords
quantum bit, qubit, quantum information, quantum computation, algorithms, spin, quantum sensing, metrology, NISQ devices, cryogenic electronics, quantum-classical interface.
Learning Prerequisites
Required courses
- Linear Algebra
- Elementary physics classes
Learning Outcomes
By the end of the course, the student must be able to:
- Describe various frontier topics in quantum science and technology.
- Illustrate quantum principles for simple systems
- Recognize quantum computation models
- Explain the simplest primitive communication protocols
- Present current hardware technologies and their applications
- Design electronics for quantum systems
Teaching methods
- Ex-cathedra lectures
- Exercices session
Assessment methods
- Written exam
Supervision
Assistants | Yes |
Forum | Yes |
Resources
Bibliography
- The physics of information technology / Gershenfeld
- Quantum computation and quantum information / Nielsen and Chuang
- Quantum computer science: an introduction /Mermin
- Bharti, K., et al., 2022. Noisy intermediate-scale quantum algorithms. Rev. Mod. Phys. 94, 015004.
Ressources en bibliothèque
In the programs
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to quantum science and technology
- Lecture: 3 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to quantum science and technology
- Lecture: 3 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
Reference week
Mo | Tu | We | Th | Fr | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Légendes:
Lecture
Exercise, TP
Project, other