The Course Special Topics in Quantum Technology will be taught each year in Q4 and the focus and the teacher can be different each year. The course is intended for (advanced) MSc students, or (beginning) PhD students with a research interest in the topic. In the academic year 2018-2019 the topic of the course will be Theoretical Modeling of Superconducting Devices. Instructor this year is Barbara Terhal.
The course will discuss tools for the theoretical and numerical modeling of superconducting devices. We start by recapping superconductivity, Josephson junction devices and the quantum optics toolkit. We discuss the theory of electric circuit quantization which allows one to describe any lumped-element electric circuit with a Hamiltonian and its dissipative environment. We review many of the known superconducting qubits and/or couplers obtained within this description. Two guest lectures will be given by David DiVincenzo.
Course code AP3662
After successfully completing this course, PhD students will obtain 5 GSCs.
| Expected prior knowledge | AP3421 Fundamentals of Quantum Information, AP3292 Quantum Hardware |
| Course Contents | This content of this course changes per year and per teacher. The goal of the focus course is to provide MSc students and early PhD students more in-depth knowledge and/or tools on particular quantum hardware as pursued at QuTech. Prelim. course description for 2018-2019: In this course we discuss tools for the theoretical and numerical modeling of superconducting devices. We start by recapping superconductivity, Josephson junction devices and the quantum optics toolkit. We discuss the theory of electric circuit quantization which allows one to describe any lumped-element electric circuit onto a Hamiltonian and its dissipative environment. We review many of the known superconducting qubits and/or couplers obtained within this description. Two guest lectures will be given by David DiVincenzo and Leo DiCarlo. |
| Study Goals | To get in-depth understanding of properties of qubits of a particular quantum computing platform. |
| Education Method | Weekly Lecture + Weekly Exercise Session |
| Literature and Study Materials | Lecture notes (possibly supplemented by textbooks) and scientific publications. |
| Assessment | 60% Weekly Assignments + 40% Presentations by students |