activity
20242026
collaborators

8 papers

quant-ph2026

An End-to-End Multi-Stage Kill-Chain Attack on Quantum Neural Networks: Demonstration on Trapped-Ion Hardware

Cedric Brügmann, Daniel Herr, Daniel Ohl de Mello +7

We demonstrate an end-to-end, multi-stage attack against a quantum neural network (QNN) model that is executed on a trapped-ion quantum computer. Our chain combines side-channel re…

quant-ph2026

Local robust shadows on a trapped ion computer -- a case study

Jadwiga Wilkens, Milena Guevara-Bertsch, Marwa Marso +6

We experimentally demonstrate local robust shadows on a trapped-ion quantum computing system, a protocol developed to counteract measurement errors. We alternate between a calibrat…

quant-ph2026

Entangling ions with engineered light gradients

Tommaso Faorlin, Lorenz Panzl, Phoebe Grosser +12

Spectral crowding of collective motional modes limits the fidelity of entangling interactions in trapped-ion quantum processors by inducing off-resonant coupling to spectator modes…

quant-ph2026

Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers

Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch +3

Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce ga…

quant-ph2025

Chiplet technology for large-scale trapped-ion quantum processors

Bassem Badawi, Philip C. Holz, Michael Raffetseder +6

Trapped ions are among the most promising platforms for realizing a large-scale quantum information processor. Current progress focuses on integrating optical and electronic compon…

quant-ph2025

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security

Pascal Debus, Maximilian Wendlinger, Kilian Tscharke +7

Quantum Machine Learning (QML) systems inherit vulnerabilities from classical machine learning while introducing new attack surfaces rooted in the physical and algorithmic layers o…