---
description: 1. Point to start 2. DataSets
---

# Quantum Projects

Video-Crash-Course: [https://www.youtube.com/watch?v=eShyPOLIfYk](https://www.youtube.com/watch?v=eShyPOLIfYk)

Aufgabe: Such dir eine Aufgabe aus der untenstehenden Liste und wähle ein passenden Datasatz dazu aus und übertrage das Wissen aus dem Tutorial ( bzw. Aufgabe).

Eine weiter schöne Seite zum "nachschlagen": [https://www.quantum-inspire.com/kbase/introduction-to-quantum-computing](https://www.quantum-inspire.com/kbase/introduction-to-quantum-computing)

## Point to start:

Circuit Ansatz: [https://pennylane.ai/qml/glossary/circuit\_ansatz.html](https://pennylane.ai/qml/glossary/circuit_ansatz.html)

What are Variational circuits ? [https://pennylane.ai/qml/glossary/variational\_circuit.html](https://pennylane.ai/qml/glossary/variational_circuit.html)

Use Classical Data: (Quantum embedding) [https://pennylane.ai/qml/glossary/quantum\_embedding.html](https://pennylane.ai/qml/glossary/quantum_embedding.html)

What is QuantumMachineLearning? [https://pennylane.ai/qml/whatisqml.html](https://pennylane.ai/qml/whatisqml.html)

What are Quantum Neural Networks ? [https://pennylane.ai/qml/glossary/quantum\_neural\_network.html](https://pennylane.ai/qml/glossary/quantum_neural_network.html)

What is Variational Quantum Linear Solver ? [https://pennylane.ai/qml/demos/tutorial\_vqls.html](https://pennylane.ai/qml/demos/tutorial_vqls.html)

Whats is ar variational ( parametrized ) classifier ? [https://pennylane.ai/qml/demos/tutorial\_variational\_classifier.html](https://pennylane.ai/qml/demos/tutorial_variational_classifier.html)

What are _Variational (parametrized) quantum circuits ?_ [_https://pennylane.ai/qml/glossary/variational\_circuit.html_](https://pennylane.ai/qml/glossary/variational_circuit.html)\_\_

## DataSets ( Linear Regression ):

{% embed url="https://www.telusinternational.com/articles/10-open-datasets-for-linear-regression" %}

## DataSets ( Classification ):

[https://data.world/datasets/classification](https://data.world/datasets/classification)
