6 papers
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…
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…
Sustainable NARMA-10 Benchmarking for Quantum Reservoir Computing
Avyay Kodali, Priyanshi Singh, Pranay Pandey +3
This study compares Quantum Reservoir Computing (QRC) with classical models such as Echo State Networks (ESNs) and Long Short-Term Memory networks (LSTMs), as well as hybrid quantu…
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…