3 papers
quant-ph2026
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…
cs.LG2026
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…
quant-ph2025
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…