5 citations · 11 across the 16 of their papers we have counts for
10 papers · 1 filter
QGrAT: Quantum Grade-Aware Transformer for Jet Tagging
Pallavi Bhardwaj, Michael Spannowsky
Lorentz symmetry and the three-prong structure of hadronic top decays provide physical guidance for designing compact quantum jet taggers. We introduce QGrAT (Quantum Grade-Aware T…
Equivalence of maximal and generic reachability for non-universal Variational Quantum Circuits
Vishal S. Ngairangbam, Michael Spannowsky
Employing problem-specific non-universal Variational Quantum Circuits aligned with a suitable state preparation has become a standard approach to counter the difficulty in training…
Backdoors in Learning-Based Industrial Robotic Arm Manipulation: An Empirical Security Study
Zijian Zhang, Zhen Zeng, Zhongshu Gu +1
Learning-based models (e.g., visuomotor and Vision-Language-Action (VLA)) are increasingly explored for industrial robotic manipulation, where model predictions are directly transl…
Qubit-qubit-qutrit quantum correlations in
Michał Banacki, Misaki Ohta, Abhyoudai S. Shaleena +5
We perform an extensive analysis of the quantum correlations carried by the qubit-qubit-qutrit pure state arising in the decay of a massive scalar into a fermion-antifermion pair a…
Conformal calibration and look-elsewhere effect in anomaly detection for new-physics searches
Jack Y. Araz, Michael Spannowsky
Machine-learned anomaly detection is reshaping searches for new physics, but it has outrun the statistics used to interpret it. A raw anomaly score has no calibrated meaning, a mod…
QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models
Aritra Bal, Michael Binder, Markus Klute +2
Large machine learning models benefit substantially from multimodal inputs that provide a complementary view of the same example. We introduce QUIVER (QUantum-Informed Views for En…
From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs
Aritra Bal, Markus Klute, Benedikt Maier +1
Pairwise Fisher graphs capture local covariance information, but they cannot distinguish an irreducible multi-observable radiation pattern from a collection of ordinary pairwise co…
Searching for axions with quantum interferometry
Tanmay Kumar Poddar, Michael Spannowsky
Quantum phase measurements offer a complementary route to axion searches. We show that axion-photon interactions can imprint both Aharonov-Bohm (AB) and Berry phases in experimenta…
Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach
Emre Gurkanli, Michael Spannowsky
We investigate whether a multiscale tensor-network architecture can provide a useful inductive bias for reconstruction-based anomaly detection in collider jets. Jets are produced b…
From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
Vishal S. Ngairangbam, Michael Spannowsky
Classical deep networks are effective because depth enables adaptive geometric deformation of data representations. In quantum neural networks (QNNs), however, depth or state reach…