7 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…