5 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…
Partial-Moment PINNs for Caldeira--Leggett Parameter Learning in Quantum Brownian Motion
Krishna Bhatia
We study parameter recovery in the Caldeira--Leggett (quantum Brownian) oscillator from partial moment traces. Our model is a moment-level PINN that predicts the five first/second…
Quantum-Logic Tsetlin Machines: Interpretable Quantum Machine Learning with Commuting Projector Clauses
Krishna Bhatia
Tsetlin Machines (TMs) learn interpretable Boolean clauses using finite-state automata. We introduce the Quantum-Logic Tsetlin Machine (QL-TM), which replaces Boolean literals with…
Continuous Quantum Feedback Control via Kraus-Parameterized Belief Reinforcement Learning
Priyanshi Singh, Krishna Bhatia
Quantum feedback control requires acting on noisy continuous measurement records without direct access to the underlying quantum state. We propose Kraus-Parameterized Belief Reinfo…