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Lukas Theißinger

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#machine learning Preprint Oct 2026

Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization

This work shows that for a broad class of combinatorial optimization problems and commonly used rotational gate parameterizations, the measurement cost of DQAS can be significantly reduced without changing the optimization objective.

Lukas Theißinger, Thore Gerlach, Christian Bauckhage · 0 citations