IP Library › Granted Patent US 12,657,509
Granted Patent B2
US 12,657,509 · App. 17/498,248 · Granted Jun 16, 2026

Quantum artificial intelligence and machine learning in a next generation mobile network

Inventors: Thomas J. Routt (Sequim, WA); Mark Stockert (San Antonio, TX)
Assignees: AT&T Intellectual Property I, L.P.; AT&T Mobility II LLC
G06N20/00G06F15/16G06N10/00H04L9/0858
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Quick Facts
Patent No.
US 12,657,509
App. No.
17/498,248
Granted
Jun 16, 2026
Kind
B2
Abstract

Aspects of the subject disclosure may include, for example, a method of receiving, by a quantum processing system including a hybrid quantum-classical processor, qubits from one or more quantum communication channels by the quantum processor or hybrid quantum-classical processor, wherein each quantum processor or hybrid quantum-classical processor is physically distinct, and wherein the one or more quantum communications channels utilize quantum channel coding and quantum error detection; performing, by the quantum processing system, quantum logic operations on the qubits; and utilizing a plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement quantum artificial intelligence (QAI) and/or quantum machine learning (QML) services. Other embodiments are disclosed.

Claims (32)

1 . A communications network, comprising:

one or more quantum communication channels;

a processing system including quantum processors or hybrid quantum-classical processors; and

a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:

transmitting and receiving qubits across the one or more quantum communication channels between the quantum processors or hybrid quantum-classical processors, wherein each quantum processor or hybrid quantum-classical processor is physically distinct, and wherein the one or more quantum communication channels utilize quantum channel coding and quantum error detection;

performing quantum logic operations on the qubits; and

utilizing a plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement quantum artificial intelligence (QAI) and/or quantum machine learning (QML) services, wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources facilitate optimization of traffic with respect to optimizing a quantity derived by calculating a number of devices per unit area, and wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources are distributed across a plurality of edge radio access network (RAN) elements of the communications network.

2 . The communications network of claim 1 , wherein the QAI and/or QML services are implemented across a plurality of time, space, and frequency domains.

3 . The communications network of claim 1 , wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources comprise application programs, application programming interfaces (APIs), application servers, security servers, data repositories/lakes, routers, switches, load balancers, links, or a combination thereof.

4 . The communications network of claim 1 , wherein the QAI and/or QML services are implemented in core network elements of the communications network.

5 . The communications network of claim 1 , wherein the QAI and/or QML services are distributed in a radio access network of the communications network.

6 . The communications network of claim 1 , wherein the operations further comprise: utilizing the plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement a hybrid quantum-classical cryptosystem.

7 . The communications network of claim 6 , wherein the hybrid quantum-classical cryptosystem includes transmission of quantum key distribution over the one or more quantum communication channels.

8 . The communications network of claim 1 , wherein the operations further comprise utilizing the plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement a quantum network of atomic clocks.

9 . The communications network of claim 8 , wherein the quantum network of atomic clocks enable quantum network clocking precision that meets or exceeds a Standard Quantum Limit.

10 . The communications network of claim 1 , wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources are configured to replace perform at least one of the following Layer 1 or Layer 2 functions: preamble detection, channel estimation, equalization, or user scheduling.

11 . A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a quantum processor or a hybrid quantum-classical processor, facilitate performance of operations, the operations comprising:

receiving qubits from one or more quantum communication channels by the quantum processor or hybrid quantum-classical processor, wherein each quantum processor or hybrid quantum-classical processor is physically distinct, and wherein the one or more quantum communication channels utilize quantum channel coding and quantum error detection;

performing quantum logic operations on the qubits; and

utilizing a plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement quantum artificial intelligence (QAI) and/or quantum machine learning (QML) services, wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources facilitate optimization of traffic with respect to optimizing a quantity derived by calculating a number of elements per unit area, and wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources are distributed across a plurality of edge radio access network (RAN) elements of a communications network.

12 . The non-transitory, machine-readable medium of claim 11 , wherein the QAI and/or QML services are implemented across a plurality of time, space, and frequency domains.

13 . The non-transitory, machine-readable medium of claim 11 , wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources comprise application programs, application programming interfaces (APIs), application servers, security servers, data repositories/lakes, routers, switches, load balancers, links, or a combination thereof.

14 . The non-transitory, machine-readable medium of claim 11 , wherein the operations further comprise: utilizing the plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement a hybrid quantum-classical cryptosystem.

15 . The non-transitory, machine-readable medium of claim 14 , wherein the hybrid quantum-classical cryptosystem includes transmission of quantum key distribution over the one or more quantum communication channels.

16 . The non-transitory, machine-readable medium of claim 11 , wherein the processing system comprises a plurality of quantum processors and/or hybrid quantum-classical processors distributed in core network elements or radio access network elements of the communications network.

17 . A method, comprising:

receiving, by a quantum processing system including a hybrid quantum-classical processor, qubits from one or more quantum communication channels by the hybrid quantum-classical processor, wherein each hybrid quantum-classical processor coupled to the one or more quantum communication channels is physically distinct, and wherein the one or more quantum communication channels utilize quantum channel coding and quantum error detection;

performing, by the quantum processing system, quantum logic operations on the qubits; and

utilizing a plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement quantum artificial intelligence (QAI) and/or quantum machine learning (QML) services, wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources facilitate handover optimization and wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources are distributed across a plurality of edge radio access network (RAN) elements of a communications network.

18 . The method of claim 17 , wherein the plurality of end-to-end quantum and hybrid quantum-classical networked application resources comprise application programs, application programming interfaces (APIs), application servers, security servers, data repositories/lakes, routers, switches, load balancers, links, or a combination thereof.

19 . The method of claim 18 , wherein the method further comprises: utilizing the plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement a hybrid quantum-classical cryptosystem.

20 . The method of claim 19 , wherein the hybrid quantum-classical cryptosystem includes transmission of quantum key distribution over the one or more quantum communication channels.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2021
From: STOCKERT, MARK
To: AT&T INTELLECTUAL PROPERTY I, L.P.
Reel/Frame 057782/0597 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2021
From: ROUTT, THOMAS J.
To: AT&T MOBILITY II LLC
Reel/Frame 057782/0632 →
Continuity (1)
Related Publication 20230110591A1 · Apr 13, 2023
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