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Implementation of QGAN and some minor updates in QML module #128

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Jul 16, 2024
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Quantum Generative Adversarial Networks (QGANs) generate synthetic data sets by an interplay of a generator and a discriminator. The generator learns to generate data samples that resemble the original data set such that the discriminator cannot tell apart the synthetic and the original data. Now, this method is implemented as a part of the generative modeling module in QUARK.

Florian Kiwit and others added 29 commits July 4, 2024 11:16
* Added docstrings to methods in CustomQiskitNoisyBackend and PresetQiskitNoisyBackend

* Refinement of docstrings and typings in noise modules

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Co-authored-by: Maximilian Wolf (FG-AP-12) <[email protected]>
Co-authored-by: Marvin Erdmann (FG-160) <[email protected]>
Correct build number in moduledb
@Marvmann Marvmann requested a review from philross as a code owner July 16, 2024 11:25
@Marvmann Marvmann requested a review from drelu as a code owner July 16, 2024 11:25
@Marvmann Marvmann merged commit 509f42f into dev Jul 16, 2024
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@Marvmann Marvmann mentioned this pull request Jul 17, 2024
@Marvmann Marvmann deleted the qgan_to_dev branch July 18, 2024 13:48
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2 participants