Quantum

EntangledEdge: A Distributed System for Orbital Quantum Sensing and Learning

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Briefings

EntangledEdge is the first distributed system architecture unifying orbital quantum sensing and learning end-to-end. It routes quantum-sensed data to capacity-diverse banks of models, adapts detection thresholds without labels, and aggregates results by hardware fidelity. Evaluated on satellite telemetry with real quantum processors, the system achieves high-quality inference at bounded per-event cost while improving quantum processor utilization and scaling with fleet size.

Key points

• EntangledEdge is the first system architecture to unify orbital quantum sensing and learning end-to-end, featuring a quantum data plane and a classical control plane.
• The system 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.

Context

Orbital quantum sensors offer higher precision than classical methods by maintaining information in superposition and entanglement, which classical measurement collapses. Learning on such data requires a distributed system to preserve quantum states from sensor to inference.

Limitations

Evaluation was conducted using a hybrid prototype combining real quantum processors and simulated orbit-to-ground links over satellite telemetry. The study does not report long-term stability, failure modes under extreme conditions, or specific cost-benefit ratios beyond 'bounded per-event cost'.

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