General Dynamics Mission Systems, Inc.

The University of Arizona

William Clark

Peter Oppong Okrah

Zheshen Zhang

Quntao Zhuang

A reconfigurable sensor network uses continuous-variable (CV) multipartite entangled quantum states for distributed RF sensing with uncertainties below the standard quantum limit. A CV multipartite entangled state is generated with a quantum circuit that splits a squeezed vacuum state into spatially separated optical modes that are entangled. Each optical mode is transmitted to a RF-photonic sensor that imposes, on the corresponding optical mode, a quadrature displacement based on the local properties of an RF signal. A homodyne detector then measures the quadrature displacement. A post-processor combines the measurements to estimate a global property of the RF signal, such as an angle-of-arrival. To enable distributed sensing over large distances, the RF-photonic sensors may be spatially separated by several kilometers, or more. Alternatively, the RF-photonic sensors may be integrated into a single photonic system, such as a photonic integrated circuit.

Entangled radiofrequency-photonic sensor systems and sensing methods

A real-time spectrum optimization and allocation is provided within multifunction, co-located, interacting heterogeneous networks. Quantum statistical allocation techniques may be adapted to networks with nodes that behave indistinguishably and distinguishably, within a common geographic locational area. If the network nodes are indistinguishable, their statistical behavior may be Fermionic or Bosonic. Fermionic nodes occupy a single or the same state with some form of degeneracy. Bosonic nodes may occupy a single or the same state, with or without degeneracy. If the nodes are distinguishable, then their statistical behavior is Boltzmann-like, and they may occupy the same state provided there is degeneracy to the overall bandwidth allowing information to be transferred.

Real-time RF spectrum allocation and optimization in multi-function, co-located, interacting heterogeneous networks

A method of optimizing spectrum usage in real-time for a plurality of networks is provided. The method includes: retrieving local spectrum usage data in a geographical area in which spectrum allocation is to take place; modeling the plurality of networks, using one or more quantum statistical models, as a system of interacting particles, wherein each particle represents a node in a network and is configurable to exist in one of several quantum states; selecting bandwidth allocation and utilization constraints for the nodes based on a system allocation intent; solving an optimization problem related to the system allocation intent to estimate specific frequency and bandwidth distributions to be allocated to each node by applying the selected one or more quantum statistical models, the selected bandwidth allocation and utilization constraints, and the captured local spectrum data; and instructing each node to operate within the specific bandwidth allocated to the node.

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Fairfax Station, VA, United States of America

William Clark