Some resources to help humans in the process of learning quantum computer.
- Quantum computing explained with simple mathematics. By Microsoft Research.
- Title: Quantum Computing for Computer Scientists
- Link: https://www.youtube.com/watch?v=F_Riqjdh2oM
- Classical methods vs Quantum ones and explications about quantum gates.
- Title: An introduction to quantum machine learning
- Paper: https://arxiv.org/abs/1409.3097
- Quantum machine learning explained by Université Laval students. It is a short french video.
- Title: Tensorflow QML
- Link: https://www.youtube.com/watch?v=LcoA53j6yiU
- Tensorflow:
- Pennylane:
- Cirq:
- Key concepts by Pennylane: https://pennylane.ai/qml/glossary.html
- Parametrized quantum circuits by Pennylane
- Title: Variational circuits
- Link: https://pennylane.ai/qml/glossary/variational_circuit.html
- Continuous-variable
- Title: Continuous-variable quantum neural networks
- Paper: https://arxiv.org/pdf/1806.06871.pdf
- Parameter-shift rules by Pennylane
- Title: Parameter-shift rules
- Link: https://pennylane.ai/qml/glossary/parameter_shift.html
- Quantum gradients with backpropagation by Pennylane
- Title: Quantum gradients with backpropagation
- Link: https://pennylane.ai/qml/demos/tutorial_backprop.html
- How to know which operator to used in a quantum circuit
- Title: Circuit Ansatz
- Link: https://pennylane.ai/qml/glossary/circuit_ansatz.html
- Noisy sinus function fitting by Pennylane
- Title: Function fitting with a photonic quantum neural network
- Link: https://pennylane.ai/qml/demos/quantum_neural_net.html