7 citations · 7 across the 9 of their papers we have counts for
10 papers · 1 filter
Scaling Hindi Quantum Natural Language Processing through Automatic Pregroup Supertagging
Gautami Sanjay Naik, Krishna Bhatia, Mithun Paul Saint-Germain +1
Quantum Natural Language Processing (QNLP) uses pregroup grammars to translate grammatical structure into diagrammatic representations and quantum circuits. Recent Hindi QNLP work…
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…
QEVOLVE-Bench: A Seed Benchmark for Quantum SDK Evolution and Repair Planning
Krishna Bhatia, Gautami Sanjay Naik
Quantum software is increasingly built on fast-moving Python SDKs such as Qiskit, PennyLane, and Cirq. When these SDKs evolve, user programs can fail because execution helpers are…
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…
Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design
Krishna Bhatia, Gautami Sanjay Naik
Quantum reservoir computing (QRC) uses fixed quantum dynamics as a high-dimensional temporal feature map and trains only a lightweight classical readout. QRC is attractive for near…
Kraus Constrained Sequence Learning For Quantum Trajectories from Continuous Measurement
Priyanshi Singh, Krishna Bhatia
Real-time reconstruction of conditional quantum states from continuous measurement records is a fundamental requirement for quantum feedback control, yet standard stochastic master…