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Maximilian Zorn

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#machine learning Preprint Oct 2026

Same Spectrum, Harder First-Order Training: Phase-Locking in Single- versus Multi-Qubit Re-Uploading Circuits

It is proved that this single-qubit re-uploading (serial) circuit represents every function that a multi-qubit circuit with the same encoding budget with the same encoding budget can; it is found that this exchange of width for depth is not free in first-order training.

Michael Poppel, David Bucher, Maximilian Zorn et al. · 0 citations
Book Open access Aug 2026

On Representation Smoothness for Robust Architecture Discovery of Variational Quantum Circuits

This work analyzes the effect of encoding discontinuities on diversity-driven discovery and introduces two representation refinements: a smooth, continuous mechanism for gate selection and a factorized representation that separates structural discovery from continuous parameter optimization.

Maximilian Zorn, Jonas Stein, Philipp Altmann et al. · 0 citations
Preprint Aug 2026

Implicit Differentiation for Measurement-Efficient Bilevel Quantum-Classical Optimization

This work proposes a bilevel optimization model for diagonal cost Hamiltonians where coefficients depend on a tunable outer parameter and develops correlator-reuse implicit differentiation (CR-ID), which obtains outer gradients by reusing quantum measurements already collected during inner energy estimation, requiring...

Tobias Rohe, M. Baumann, Federico Harjes Ruiloba et al. · 0 citations

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