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Julian Hager

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#machine learning Preprint Sep 2026

Variational Quantum Transformer Architecture for Synthetic Language Generation

We propose a compact NISQ-compatible quantum transformer architecture for synthetic QNLP sequence modelling. The model preserves the autoregressive next-token interface of a classical transformer, but replaces attention and feed-forward sublayers with variational quantum encoder blocks, connector circuits, decoder bloc...

Julian Hager, Michael Kölle, Gerhard Stenzel et al. · 0 citations

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