Simulations identify anisotropic ground stations, multi-inclination LEO orbits, and multi-party service policies as key to achieving concurrent global quantum connectivity with acceptable latency and link strength.
Going beyond bell’s theorem
2 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 2representative citing papers
Deep reinforcement learning applied to measurement-based quantum feedback control achieves faster stabilization of random initial states to target entangled states in two- and three-qubit systems than Lyapunov feedback or alternative DRL reward designs.
citing papers explorer
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Designing a Satellite Serviced Quantum Network Backbone for Concurrent Global Connectivity
Simulations identify anisotropic ground stations, multi-inclination LEO orbits, and multi-party service policies as key to achieving concurrent global quantum connectivity with acceptable latency and link strength.
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Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control
Deep reinforcement learning applied to measurement-based quantum feedback control achieves faster stabilization of random initial states to target entangled states in two- and three-qubit systems than Lyapunov feedback or alternative DRL reward designs.