4 papers
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…
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…
DRiVE: Dynamic Recognition in VEhicles using snnTorch
Heerak Vora, Param Pathak, Parul Bakaraniya
Spiking Neural Networks (SNNs) mimic biological brain activity, processing data efficiently through an event-driven design, wherein the neurons activate only when inputs exceed spe…