Quantum 301: Quantum Computing with Semiconductor Technologies
Source: https://learningforlife.tudelft.nl/quantum-301-quantum-computing-with-semiconductor-technologies/ Parent: https://learningforlife.tudelft.nl/our-courses/quantum-technology/
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Development and Applications of Germanium Quantum Technologies + Free
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Quantum 301: Quantum Computing with Semiconductor Technologies
Summary
Quantum 301: Quantum Computing with Semiconductor Technologies
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- Understand the physics behind Germanium qubits and their advantages and challenges.
- Learn how Germanium qubits can be controlled and how this process can be automatized using machine learning.
- Familiarize yourself with different companies in the semiconducting industry and their facilities.
- Identify how quantum algorithms and quantum error correction can be performed using Germanium qubits.
- Understand the utility of machine learning in tuning of semiconductor qubits.
- Develop and implement in Python machine learning prototypes for semiconductor qubit tuning tasks.
Free
program content
2 Courses
- Type Programme
- Location Online
- Pacing Starts anytime / Self-paced
- Length
For instructor paced courses this is the length of the course.
For self-paced courses this is the length of the course if you spend the amount of time per week as specified. You're free to go faster or slower as you see fit.
12 Weeks - Effort 6 - 7 Hours per week
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Programme
Develop your expertise with multiple courses at a discounted price.
- Overview
Unravel the physics behind Germanium qubits, their fabrication process, control, and applications. Learn about machine learning for semiconductor quantum devices, and specifically how to apply it for auto-tuning.
In the race towards a fault-tolerant quantum computer, the semiconducting qubit platform is, thus far, the only one that has been shown to be scalable. Germanium qubits are a new type of semiconducting qubits, and their progress has been exceptionally fast since the development of the material in 2018.
The program “Quantum 301: Quantum Computing with Semiconductor Technology” 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
- Qualifications
##### Chartered Engineering Competences
All our online courses and programs have been matched to the competences determined by KIVI’s Competence Structure, a common frame of reference for everyone, across all disciplines, levels and roles.
These competences apply to this course:
- A1: Extend your theoretical knowledge of new and advancing technologies.
What our learners say about us
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This course gave me more insight into the field and current ongoing research.
Ilja - The Netherlands
Machine Learning for Semiconductor Quantum Devices
6 - 7 Hours per week
Free
Development and Applications of Germanium Quantum Technologies
6 - 7 Hours per week
Free