7 papers
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…
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…
Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout
Param Pathak, Mansi Od, Nouhaila Innan +1
Due to rising electricity demand, accurate short-term load forecasting is increasingly important for grid stability and efficient energy management, particularly in resource-constr…
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
Prateek Jain, Param Pathak, Krishna Bhatia +2
In molecular research, the modelling and analysis of molecules through simulation is an important part that has a direct influence on medical development, material science and drug…
The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
Param Pathak, K Tarakeshwar, Syed Sufiyan Ali +2
Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software f…
KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes
Vidhi Oad, Param Pathak, Nouhaila Innan +2
Forecasting in financial markets remains a significant challenge due to their nonlinear and regime-dependent dynamics. Traditional deep learning models, such as long short-term mem…