7 citations · 7 across the 6 of their papers we have counts for
7 papers
Seasonal and Quantum-inspired Models for Neutron Monitor Time Series Forecasting
Krishna Bhatia, Shalini Devendrababu, Srinjoy Ganguly
We present a focused and reproducible study of multi-horizon forecasting on the Lomnicky Stit neutron monitor (LMKS) time series. Our evaluation suite covers simple seasonal baseli…
Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting
Krishna Bhatia, Harsh, Shalini Devendrababu
We study a hybrid proposal--correction architecture for reduced-order PDE forecasting in which a pure-state quantum reservoir computer (QRC) predicts latent coefficient dynamics an…
Physics-Guided Linear Mapper for Quantum Error Mitigation
Tulsi Chaudhari, Krishna Bhatia, Shalini Devendrababu +2
We introduce a novel physics-guided linear mapper (PGLM) for quantum error mitigation that uses seven distinct interpretable features derived from circuit complexity and device cal…
Non-Unitary Quantum Machine Learning: Fisher Efficiency Transitions from Distributed Quantum Expressivity
Apoorv Kumar Masta, Srinjoy Ganguly, Shalini Devendrababu +3
Quantum machine learning has faced growing scrutiny over its practical advantages compared to classical approaches, particularly following dequantization results and large scale be…
Sustained Performance and Energy Accounting for Nonlinear Forecasting Across Classical and Simulated Quantum Models
Avyay Kodali, Priyanshi Singh, Pranay Pandey +3
Energy-efficient AI should be evaluated across the full application pipeline, not only by lowest error or shortest training time. We study this through nonlinear time-series foreca…
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…
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…