3 papers
quant-ph2026
An Online Approach for Entanglement Verification Using Classical Shadows
Marwa Marso, Sabrina Herbst, Jadwiga Wilkens +3
Quantum measurements are slow, while classical processors are fast, yet existing hybrid protocols never exploit this asymmetry. In this work, we propose an alternative formulation…
quant-ph2025
Limits of quantum generative models with classical sampling hardness
Sabrina Herbst, Ivona BrandiÄ, Adrián Pérez-Salinas
Sampling tasks have been successful in establishing quantum advantages both in theory and experiments. This has fueled the use of quantum computers for generative modeling to creat…
quant-ph2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio +1
With the increasing interest in Quantum Machine Learning, Quantum Neural Networks (QNNs) have emerged and gained significant attention. These models have, however, been shown to be…