https://github.com/jeremiegince/learning_quantum_computer_resources
Some resources to help humans in the process of learning quantum computer.
https://github.com/jeremiegince/learning_quantum_computer_resources
qbit quantum-computing quantum-machine-learning references resources
Last synced: about 1 month ago
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Some resources to help humans in the process of learning quantum computer.
- Host: GitHub
- URL: https://github.com/jeremiegince/learning_quantum_computer_resources
- Owner: JeremieGince
- Created: 2021-04-19T18:55:13.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-04-20T15:27:54.000Z (about 4 years ago)
- Last Synced: 2025-01-20T14:34:58.435Z (3 months ago)
- Topics: qbit, quantum-computing, quantum-machine-learning, references, resources
- Homepage:
- Size: 4.88 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Learning Quantum Computer Resources
Some resources to help humans in the process of learning quantum computer.
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# Basics
* 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
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# Quantum machine learning
## Python frameworks
* Tensorflow:
+ Site: https://www.tensorflow.org/quantum
+ Github: https://github.com/tensorflow/quantum/
+ Paper: https://arxiv.org/pdf/2003.02989.pdf
+ Video: https://www.youtube.com/watch?v=-o9AhIz1uvo
* Pennylane:
+ Site: https://pennylane.ai/
+ Github: https://github.com/PennyLaneAI/PennyLane
+ Paper: https://arxiv.org/abs/1811.04968
* Cirq:
+ Site: https://quantumai.google/cirq
+ Github: https://github.com/quantumlib/cirq
+ Video: https://www.youtube.com/watch?v=16ZfkPRVf2w
## Key consepts
* Key concepts by Pennylane: https://pennylane.ai/qml/glossary.html
## Devices
*
## Circuits
* 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
## Gradient calculation
* Parameter-shift rules by Pennylane
+ Title: Parameter-shift rules
+ Link: https://pennylane.ai/qml/glossary/parameter_shift.html
## Backpropagation
* Quantum gradients with backpropagation by Pennylane
+ Title: Quantum gradients with backpropagation
+ Link: https://pennylane.ai/qml/demos/tutorial_backprop.html
## Circuit Ansatz
* How to know which operator to used in a quantum circuit
+ Title: Circuit Ansatz
+ Link: https://pennylane.ai/qml/glossary/circuit_ansatz.html
## Examples
* 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
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