Machine Learning for Semiconductor Quantum Devices
Dear learners,
Welcome to the first part of the Program Quantum 201: Quantum Computing and Quantum Internet.
Now that you have concretely seen how to build a quantum computer in Quantum 101, it is important to formally introduce the theory of quantum information, which underlies all hardware platforms.  In particular, in this MOOC, you will learn how to construct, manipulate, and measure quantum states, harnessing uniquely quantum effects such as superposition and entanglement in clever quantum circuits and algorithms. In the next MOOC, “Quantum Error Correction & Algorithms” (coming soon), you will learn how imperfect hardware can still be used to build a functional quantum computer. By completing both parts, you will have a solid foundation in the theory of quantum information and fault tolerance.
Please note: this is an advanced course. We expect you to have followed the previous courses offered by QuTech Academy on edX, namely:
If you have already followed some other courses about Quantum Computing, you can check the Syllabus and make sure that your prior knowledge is sufficient to follow the course. If you don’t feel confident about some of the topics, join the previous courses and come back later!
The course is a journey of discovery, so we encourage you to bring your own experiences, insights and thoughts via the forum. Our Community TA’s will be available during working days to support you. We aim to answer all your questions within 48 hours.
We hope you enjoy the course with us!
Kind Regards,
The QuTech Academy Team
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