7 citations · 11 across the 5 of their papers we have counts for
5 papers
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…
Limits of quantum generative models with classical sampling hardness
Sabrina Herbst, Ivona Brandić, 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…
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…
On Optimizing Hyperparameters for Quantum Neural Networks
Sabrina Herbst, Vincenzo De Maio, Ivona Brandic
The increasing capabilities of Machine Learning (ML) models go hand in hand with an immense amount of data and computational power required for training. Therefore, training is usu…
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
Sabrina Herbst, Vincenzo De Maio, Ivona Brandic
With the advent of the Post-Moore era, the scientific community is faced with the challenge of addressing the demands of current data-intensive machine learning applications, which…