Useful links


More for IBM quantum computing:

Qiskit SDK: https://qiskit.org/ 

Qiskit Textbook: https://qiskit.org/learn/course/introduction-course 

Qiskit Learn portal + resources: https://qiskit.org/learn/

Qiskit experiments module (beta): https://qiskit.org/documentation/experiments/tutorials/index.html

Qiskit Advocate Program: https://qiskit.org/advocates/

Qiskit Youtube: https://www.youtube.com/qiskit 


IBM Quantum Experience: https://quantum-computing.ibm.com/

IBM Quantum Composer: https://quantum-computing.ibm.com/composer/

IBM Quantum Lab: https://lab.quantum-computing.ibm.com/

IBM Quantum Educators Program: https://quantum-computing.ibm.com/programs/educators

For Ariel’s query on QML and hybrid approaches, these links could be of interest to them:

Qiskit Machine learning module: https://qiskit.org/documentation/machine-learning/getting_started.html

Qiskit Machine learning Tutorial set: https://qiskit.org/documentation/machine-learning/tutorials/index.html

Quantum Machine learning self paced course: https://qiskit.org/learn/course/machine-learning-course

Qiskit Global Summer School 2021 Recordings (focused on QML): https://qiskit.org/learn/summer-school/quantum-computing-and-quantum-learning-2021/