Playbook: Quantum Machine Learning

Here's some tips and great resources from TKS Alumni. This playbook might seem small, but it's because we wanted to filter to high quality resources and keep it short. Feel free to reach out to the Alumni below on TKS.life if you have any questions (their names are hyperlinked to their profiles).

Tanisha:

• Read this: https://github.com/krishnakumarsekar/awesome-quantum-machine-learning

Khalid:

Here are some of the sources I used to dive deeper into QML:

• This is Peter Wittek's Quantum Machine Learning course on edx in a github format: https://github.com/sonamghosh/quantum-machine-learning
• You can access his edx course here.
• This is Xanadu's(specifically Pennylane) QML course. This is insanely valuable because it goes into depth about the core concepts of QML, while also giving really cool QML projects to do → https://pennylane.ai/qml/

Anisha:

• Read: https://www.qutisgroup.com/wp-content/uploads/2014/10/TFG-Cristian-Romero.pdf
• Super valuable: https://www.agatabranczyk.com/careersinquantum.html

Teddy Porfiris:

For anyone starting a quantum focus, this is the best overview of the math you need to understand before you start building cool things!

• Learn the math: https://qiskit.org/textbook/ch-appendix/linear_algebra.html

Quantum Computing Websites:

• https://thequantumdaily.com/qc-101/
• https://quantum.country/qcvc