EntangledEdge: A Distributed System for Orbital Quantum Sensing and Learning
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.
Related
- Continuous variable distributed quantum sensing in integrated photonics
- Geometric construction of optimal probe states in distributed multiparameter quantum sensing
- Dynamic distributed quantum sensing of radio-frequency fields via time-bin entanglement
- Parametric amplification of continuous-variable entangled state for loss-tolerant quantum distributed sensing
- Distributed quantum phase sensing using an SU(1,1) Perelomov coherent state in a Mach-Zehnder interferometer network
BibTeX
@misc{hasanat2026entanglededge,
title = {{EntangledEdge: A Distributed System for Orbital Quantum Sensing and Learning}},
author = {Mohammad Abrarul Hasanat and Amit Samanta and Jason Ludmir and Tirthak Patel and Rohan Basu Roy},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.24353},
eprint = {2610.24353},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.24353},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - EntangledEdge: A Distributed System for Orbital Quantum Sensing and Learning
AU - Mohammad Abrarul Hasanat
AU - Amit Samanta
AU - Jason Ludmir
AU - Tirthak Patel
AU - Rohan Basu Roy
PY - 2026
DA - 2026/10/17
PB - arXiv
DO - 10.48550/arxiv.2610.24353
UR - https://arxiv.org/abs/2610.24353
AB - 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.
ER -