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.

Abstract: Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations by a suite of artificial intelligence (AI) assistants, the operations including: creating a quantum digital twinning model for a first high-impact event; gathering real-time dynamic data associated with the first high-impact event; generating prompts for a generative AI trained for high-impact events based on the quantum digital twinning model and the real-time dynamic data; and receiving and providing recommendations for actions addressing issues related to the first high-impact event to a user of the device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: training a role-based agent to handle queries from users of a network; training a role-based foundation model to retrieve data relevant to a role of a user; receiving a query from the user; and providing the query to the role-based agent, wherein the role-based agent uses an associated role-based foundation model to process the query, collect relevant data from the network, and formulate an answer to the query. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first dataset in association with a first plurality of devices, obtaining a second dataset in association with a second plurality of devices, performing a first analysis in respect of the first dataset and the second dataset to identify a pattern involving at least a first device of the first plurality of device and at least a second device of the second plurality of devices, obtaining, based on the performing of the first analysis, a third dataset that provides context to at least one of the first dataset or the second dataset, resulting in an enriched dataset, performing a second analysis in respect of the enriched dataset to determine that the enriched dataset is indicative of an emergency, and generating an output that is based on the emergency. Other embodiments are disclosed.

Abstract: A processing system may obtain time series associated with a plurality of network functions of a communication network, each time series including a sequence of values over a plurality of time intervals, each value indicating a percentage of events generated by a respective network function indicating a procedure failure within a respective time interval out of a total number of events generated by the respective network function within the respective time interval, identify, via a time series anomaly detection algorithm implemented by the processing system, an anomaly detection result comprising at least one time interval in which at least one time series exhibits at least one anomaly, apply a query to a generative model requesting an interpretation of the anomaly detection result, where an output comprising the interpretation is generated via the generative model in response to the query, and present the output to at least one endpoint device.

Abstract: A processing system may obtain time series associated with a plurality of network functions of a communication network, each time series including a sequence of values over a plurality of time intervals, each value indicating a percentage of events generated by a respective network function indicating a procedure failure within a respective time interval out of a total number of events generated by the respective network function within the respective time interval, identify, via a time series anomaly detection algorithm implemented by the processing system, an anomaly detection result comprising at least one time interval in which at least one time series exhibits at least one anomaly, apply a query to a generative model requesting an interpretation of the anomaly detection result, where an output comprising the interpretation is generated via the generative model in response to the query, and present the output to at least one endpoint device.

Abstract: Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: training a role-based agent to handle queries from users of a network; training a role-based foundation model to retrieve data relevant to a role of a user; receiving a query from the user; and providing the query to the role-based agent, wherein the role-based agent uses an associated role-based foundation model to process the query, collect relevant data from the network, and formulate an answer to the query. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a system including: one or more probes in a communication network; a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: collecting data from the one or more probes and application program interfaces of network elements in the communication network; converting the data into semantic vectors using an embedding model; storing the semantic vectors in a vector database; using foundation models to generate outputs based on the semantic vectors; generating synthetic data using a generative adversarial network, wherein the synthetic data is used test the foundation models; using federated reinforcement to incorporate human feedback into the semantic vectors; and managing the communication network based on the outputs. Other embodiments are disclosed.

Abstract: A processing system may obtain a plurality of sequences of network function transaction events, each sequence comprising a plurality of network function transaction events in a communication network. The processing system may next apply the plurality of sequences as inputs to a sequential rule mining module implemented by the processing system to obtain a first rule set comprising at least a first rule, where the first rule indicates that a consequent network function transaction event follows an antecedent comprising one or more prior network function transaction events, and may apply the plurality of sequences as inputs to a generative model to obtain a second rule set. The processing system may then identify that the first rule is contained in the first and second rule sets, and may add the first rule to a set of active rules for generating alerts in the communication network, in response.

Abstract: Aspects of the subject disclosure may include, for example a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: creating a quantum digital twinning model for a public safety event; generating a map view of an area of the public safety event, wherein the map view shows images determined by the quantum digital twinning model; providing recommendations for actions to mitigate the public safety event, wherein the recommendations are determined from the quantum digital twinning model; and providing explainability of the recommendations determined. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of performing a packet analysis of protocol data unit (PDU) headers of inbound Internet and non-Internet traffic; determining whether the PDU headers identify the presence of a quantum payload and/or via deep packet inspection; detecting a presence of attack vectors in the quantum payload responsive to a determination that the PDU headers identify the presence of the quantum payload, wherein the attack vectors originate from a quantum computer, and wherein the attack vectors are cryptanalytically relevant; generating an alert responsive to detecting the presence of the attack vectors; and isolating compromised network elements, sets of elements, and/or other network components and/or subsystems, and route traffic around the compromised network elements, sets of

Abstract: A method for providing quantum computation-based security solutions for generative artificial intelligence content includes generating an item of new content based on an input, and using a generative artificial intelligence foundation model that has been trained to generate items of new content having characteristics that mimic characteristics of content included in a set of training data, storing the item of new content in a quantum temporal blockchain, detecting an action performed by the generative artificial intelligence foundation model against the item of new content, and logging the action in the quantum temporal blockchain.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a smart contract for tracking a position of a mobile device from a quantum blockchain; issuing a token uniquely identifying location data for the position of the mobile device; receiving location data including the token from the mobile device, wherein the position of the mobile device is determined by displacement from an initial position using a quantum accelerometer; verifying the location data using the token; and storing the location data in the quantum blockchain. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a smart contract for tracking a position of a mobile device from a quantum blockchain; issuing a token uniquely identifying location data for the position of the mobile device; receiving location data including the token from the mobile device, wherein the position of the mobile device is determined by displacement from an initial position using a quantum accelerometer; verifying the location data using the token; and storing the location data in the quantum blockchain. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of performing a packet analysis of protocol data unit (PDU) headers of inbound Internet and non-Internet traffic; determining whether the PDU headers identify the presence of a quantum payload and/or via deep packet inspection; detecting a presence of attack vectors in the quantum payload responsive to a determination that the PDU headers identify the presence of the quantum payload, wherein the attack vectors originate from a quantum computer, and wherein the attack vectors are cryptanalytically relevant; generating an alert responsive to detecting the presence of the attack vectors; and isolating compromised network elements, sets of elements, and/or other network components and/or subsystems, and route traffic around the compromised network elements, sets of

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of mobile devices implementing an application, and identifying a group of mobile devices from among the plurality of mobile devices according to a first movement pattern of the group of mobile devices. Further aspects can include identifying a first mobile edge compute (MEC) node at a first location according to a proximity threshold that does not include a MEC agent for the application, and identifying a second MEC node at a second location that includes the MEC agent for the application according to the proximity threshold. Additional aspects can include determining a first network relative performance (NRP) metric associated with a first communications between the group of mobile devices and the second MEC node. The first communications are associated with the application. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of performing a packet analysis of protocol data unit (PDU) headers of inbound Internet and non-Internet traffic; determining whether the PDU headers identify the presence of a quantum payload and/or via deep packet inspection; detecting a presence of attack vectors in the quantum payload responsive to a determination that the PDU headers identify the presence of the quantum payload, wherein the attack vectors originate from a quantum computer, and wherein the attack vectors are cryptanalytically relevant; generating an alert responsive to detecting the presence of the attack vectors; and isolating compromised network elements, sets of elements, and/or other network components and/or subsystems, and route traffic around the compromised network elements, sets of

Abstract: A method for managing multi-vendor fifth generation/sixth generation and next-generation hybrid quantum-classical networks includes determining a proposed network compute cloud configuration for a hybrid quantum-classical telecommunications network supported by a plurality of cloud environments, determining a protocol that is required to implement the proposed network compute cloud configuration, based on a topology of the hybrid quantum-classical telecommunications network, and delegating a quantum function of the proposed network compute cloud configuration among the plurality of cloud environments, using the protocol.

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of mobile devices implementing an application, and identifying a group of mobile devices from among the plurality of mobile devices according to a first movement pattern of the group of mobile devices. Further aspects can include identifying a first mobile edge compute (MEC) node at a first location according to a proximity threshold that does not include a MEC agent for the application, and identifying a second MEC node at a second location that includes the MEC agent for the application according to the proximity threshold. Additional aspects can include determining a first network relative performance (NRP) metric associated with a first communications between the group of mobile devices and the second MEC node. The first communications are associated with the application. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: creating a quantum digital twinning model for a public safety event; generating a map view of an area of the public safety event, wherein the map view shows images determined by the quantum digital twinning model; providing recommendations for actions to mitigate the public safety event, wherein the recommendations are determined from the quantum digital twinning model; and providing explainability of the recommendations determined. Other embodiments are disclosed.