3 papers
quant-ph2026
Physics-Constrained Compressed Sensing for Quantum Sensing in the Data-Starved Regime
Amir Kalev
Quantum sensors promise measurement sensitivities that can scale at the Heisenberg limit, but in practice their performance is often degraded by noise, finite sampling, and impleme…
quant-ph2026
Towards defending crosstalk-mediated attacks in multi-tenant quantum computing
Devika Mehra, Amir Kalev
With the increasing demand for quantum hardware, shared and multi-tenant environments have been proposed to optimize resource utilization. However, the multi-tenancy paradigm in qu…
quant-ph2026
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks
Naman Jain, Amir Kalev
We introduce Quantum Feature Extraction (QuFeX), a novel quantum machine learning module. The proposed module enables feature extraction in a reduced-dimensional space, significant…