91 citations · 95 across the 13 of their papers we have counts for
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Variational Quantum Integrated Sensing and Communication
Ivana Nikoloska, Osvaldo Simeone
The integration of sensing and communication functionalities within a common system is one of the main innovation drivers for next-generation networks. In this paper, we introduce…
Adaptive Bayesian Single-Shot Quantum Sensing
Ivana Nikoloska, Ruud Van Sloun, Osvaldo Simeone
Quantum sensing harnesses the unique properties of quantum systems to enable precision measurements of physical quantities such as time, magnetic and electric fields, acceleration,…
Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference
Ivana Nikoloska, Hamdi Joudeh, Ruud van Sloun +1
Quantum sensing exploits non-classical effects to overcome limitations of classical sensors, with applications ranging from gravitational-wave detection to nanoscale imaging. Howev…
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating
Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi +1
Adaptive gating plays a key role in temporal data processing via classical recurrent neural networks (RNN), as it facilitates retention of past information necessary to predict the…
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
Ivana Nikoloska, Osvaldo Simeone
Near-term noisy intermediate-scale quantum circuits can efficiently implement implicit probabilistic models in discrete spaces, supporting distributions that are practically infeas…
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
Ivana Nikoloska, Osvaldo Simeone
Quantum machine learning has emerged as a potential practical application of near-term quantum devices. In this work, we study a two-layer hybrid classical-quantum classifier in wh…