Joint-DP co-optimizes sensing geometry with Bellman-optimal adaptive policies via differentiable dynamic programming and relaxations, scaling to photonic designs exceeding 10^5 pixels.
A family of variable-metric methods derived by variational means.Mathematics of computation, 24(109):23–26
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Quantum probes with squeezing or entanglement, routed via an identifiability-guaranteeing algorithm, enable improved estimation of link transmissivities in general optical networks using det(FIM) and tr(FIM^{-1}) metrics.
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Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference
Joint-DP co-optimizes sensing geometry with Bellman-optimal adaptive policies via differentiable dynamic programming and relaxations, scaling to photonic designs exceeding 10^5 pixels.
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Quantum-enhanced Network Tomography
Quantum probes with squeezing or entanglement, routed via an identifiability-guaranteeing algorithm, enable improved estimation of link transmissivities in general optical networks using det(FIM) and tr(FIM^{-1}) metrics.