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arXiv · 2610.24353

EntangledEdge: A Distributed System for Orbital Quantum Sensing and Learning

Mohammad Abrarul Hasanat·Amit Samanta·Jason Ludmir·Tirthak Patel·Rohan Basu Roy
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Abstract

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 EntangledEdge, the first system architecture to unify orbital quantum sensing and learning end-to-end, with a quantum data plane and a classical control plane. It routes each event to a channel-matched model in a capacity-diverse bank, adapts its detection threshold without labels, and aggregates across stations by hardware fidelity. Evaluated with a hybrid prototype (real quantum processors, simulated orbit-to-ground link) over satellite telemetry, EntangledEdge achieves high-quality inference at bounded per-event cost, improves quantum processor utilization, and scales with fleet size.

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Mohammad Abrarul Hasanat, Amit Samanta, Jason Ludmir, Tirthak Patel, Rohan Basu Roy. 2026-10-17. EntangledEdge: A Distributed System for Orbital Quantum Sensing and Learning. https://arxiv.org/abs/2610.24353

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