# actual tasks

**January 2022**

**PyTorch: A practical summary for classicl datascience** [**\[ DOCUMENT \]**](https://docs.google.com/document/d/1iUOXZHmWKyICVb8EzB0Jv0JW3q6wK6lmKSlgDYucA2E/edit?usp=sharing)

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**Dezember 2021**

**Quantum with Federated Learning ( QFL )?**&#x20;

-> @Presentation [\[ LINK \]](https://docs.google.com/presentation/d/1YMo-EGSDAGPtQS-aWh5BhmmuVM0s_eklly0DeHlpclE/edit?usp=sharing)

-> @BQP \[ LINK ]

-> State Vector Method vs. Tensor Network Mehtod

**Optimizer Classical meets  Quantum**&#x20;

-> @gitbook [\[ LINK \] ](../quantum-machine-learning/optimizer)

->@BQP  [\[ LINK \]](https://docs.google.com/document/d/1YYOCEOMKd2cmsvEPfVoHobVOthlL9vW2XdDjT-pToCs/edit?usp=sharing)

**QuantumDataEncoding**

@BQP [\[ LINK \]](https://docs.google.com/document/d/1DvdLR0gcVSFSS9ZIBdnNQDOUJlbw7q6QYA5cvJ8pXIM/edit?usp=sharing)

@gitbook \[ coming soon ]

**QuantumLearningRateVisualization**

@BQP  \[ Link coming soon ]

UML for Workgroup

@BQP [\[ LINK \]](https://docs.google.com/document/d/15mVlWVdbFfuWPyDT7igXeGKc5OxyYVV29Azh-nGa1Xs/edit?usp=sharing)

**Classical Deep Learning ( & Activation Function )**

@BQP [\[ LINK \] ](https://docs.google.com/document/d/1SaLeVaCWwseHVkCnl0u0Tvr44odWqnHM83ZXlxGEcCA/edit?usp=sharing)
