27 papers
QSTAR: Quantum Selective Transfer with Adaptive Routing
Saim Rehman, Nouhaila Innan, Muhammad Shafique
Quantum transfer learning (QTL) is often evaluated by replacing a classical classifier with a fixed variational quantum head, but this hides a key question: when is the quantum bra…
PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks
Farah Elnakhal, Alberto Marchisio, Nouhaila Innan +2
Physical noise in near-term quantum hardware is usually treated as a nuisance to suppress. We ask whether it can instead act as a hardware-native regularizer for photonic hybrid qu…
VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks?
Anton Firc, Martin PereÅ¡Ãni, VojtÄch Mrázek +7
Hybrid quantum-classical machine learning workflows repeatedly evaluate many small parametrized circuits during training and model exploration. In this regime, framework dispatch a…
Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems
Mansi Od, Param Pathak, Nouhaila Innan +1
Short-term load forecasting is essential for reliable energy management, but practical deployment on edge devices requires models that remain accurate under limited memory, finite…
QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation
Prerana Ramkumar, Nouhaila Innan, Muhammad Shafique
Scene Graph Generation (SGG) requires relational reasoning over objects and their interactions, but performance is often limited by severe long-tail predicate imbalance. Classical…
Game, Set, Quantum: Parameterized Quantum Circuit for Correlated Equilibrium in Bayesian Games
Param Pathak, Vidhi Oad, Nouhaila Innan +2
Strategic decision-making among many agents under incomplete information is central to economics, security, and multi-agent artificial intelligence (AI). Computing equilibria in su…