uniqc.algorithmics.training package

Submodules

• uniqc.algorithmics.training.hybrid_model module
• uniqc.algorithmics.training.qaoa_torch module
• uniqc.algorithmics.training.qcnn module
• uniqc.algorithmics.training.qnn module
• uniqc.algorithmics.training.vqe_torch module

Module contents

Variational quantum algorithm training modules.

Provides reusable algorithm implementations using TorchQuantum backend for native PyTorch autograd-based optimization.

Requires optional dependencies: install unified-quantum[pytorch], then install the TorchQuantum fork manually.