Overview
The program Quantum 301 - Quantum Computing with Semiconductor Technology Professional Certificate in collaboration with Delft University of Technology (TU Delft) - DelftX is a combination of two advanced level courses about semiconducting quantum technologies.
You will learn about the physics behind Germanium qubits, their advantages, and challenges compared to other qubit platforms, and the electrical components that are needed to control them. In addition, you will familiarize yourself with different companies from the semiconducting industry, their fabrication facilities, and the latest developments in the field.
You will gain insight into how to embed machine learning into Germanium and other semiconductor qubit tuning and control workflows. You will be able to develop basic machine learning control algorithms and know how to embed them into experimental quantum computing workflow.
To benefit fully from this program, prior knowledge about different fabrication methods, in addition to the previous courses on Edx.org is recommended:
- Fundamentals of Quantum Information
- The Hardware of a Quantum Computer
This program is a collaboration between several parties, all of whom have state-of-the-art facilities for fabrication, control, or application of Germanium qubits. By taking this course you will have the opportunity to learn about Germanium qubits and artificial intelligence assisted qubit control from professionals in the field who are conducting innovative research that is not being done elsewhere.
Job Outlook
- By following this program students will be prepared for further specialized studies in quantum technology.
- For professionals, this program will allow you to move and grow in their career in the new field of quantum technology and familiarize yourself with emerging advanced topics.
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Machine Learning for Semiconductor Quantum Devices
- Development and Applications of Germanium Quantum Technologies
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- 6 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Physics Machine Learning View 261 other Short Courses in Machine Learning in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
278 USD/fullTuition FeeBased on the tuition of 278 USD for the full programme during 3 months. -
National
278 USD/fullTuition FeeBased on the tuition of 278 USD for the full programme during 3 months.