An orbital quantum sensor is more precise than classical and holds its information in a quantum state's superposition and entanglement, which classical measurement collapses. Learning on quantum-sensed data therefore requires a distributed system in which the data stay quantum from sensor to inference. We present Entan...
Mohammad Abrarul Hasanat, Amit Samanta, J. Ludmir et al.· 0 citations
Variational quantum algorithms (VQAs) suffer from unstable optimization due to temporal noise drift and static qubit mappings that distort gradient signals across iterations. We present BAHAMAS, an online control framework that stabilizes noise exposure by adaptively selecting physical mappings via consensus-based fide...
Amit Samanta, Mohammad Abrarul Hasanat, J. Ludmir et al.· 0 citations
By co-designing BB-code abstractions with hardware execution, Park-n-Ride provides a practical path from qLDPC primitives to resource-efficient, high-throughput execution on reconfigurable neutral-atom arrays.
J. Ludmir, Aditya Ranjan, Nicholas S. DiBrita et al.· 1 citation
PaQit is introduced, a fidelity-aware qubit packing framework that integrates device-level Rydberg interaction physics with system-level scheduling to jointly optimize energy, runtime, and fidelity in neutral-atom systems.
J. Ludmir, Tirthak Patel· 0 citations
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