1 citations · 2 across the 3 of their papers we have counts for
5 papers
Hidden selection rules and amplitude ceilings in quantum Fourier models
Pavel Sulimov, Claude Lehmann
Quantum models with Pauli data encodings compute trigonometric polynomials whatever channels, ancillas and outcome-averaged measurements follow, so their expressivity depends on th…
Certification cost of quantum models: measurement correlation, not parameter count
Pavel Sulimov, Claude Lehmann
Reporting the Fisher geometry of a trained variational quantum model is routine; quoting the shot budget that would establish it is not. Certifying an empirical Fisher matrix to re…
Quanvolutional Neural Networks for Spectrum Peak-Finding
Lukas Bischof, Rudolf M. Füchslin, Kurt Stockinger +1
The analysis of spectra, such as Nuclear Magnetic Resonance (NMR) spectra, for the comprehensive characterization of peaks is a challenging task for both experts and machines, espe…
GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints
Pavel Sulimov, Claude Lehmann, Kurt Stockinger
Query optimization has become a research area where classical algorithms are being challenged by machine learning algorithms. At the same time, recent trends in learned query optim…
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective
Claude Lehmann, Pavel Sulimov, Kurt Stockinger
The current boom of learned query optimizers (LQO) can be explained not only by the general continuous improvement of deep learning (DL) methods but also by the straightforward for…