Hybrid Quantum-Classical Network Management for Emergency Resilience
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Solution Overview
Problem
Current communication networks, especially during disasters or emergencies, face capacity overload issues due to excessive demand, leading to rationed capacity and traffic throttling, as the finite bandwidth is exceeded, and network infrastructure damage further reduces capacity.
Innovation Solution
The system employs hybrid quantum-classical networks with distributed quantum-classical compute/bandwidth resource controllers that manage entangled qubits for optimized distribution and storage, using quantum computation, qubit entanglement distillation, and superdense coding to enhance network capacity and resilience, along with blockchain-based smart contracts for secure and transparent resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network capacity is increased to meet growing demand, then service quality is improved, but infrastructure cost and complexity increase
Solution Approach 1:
The patent segments network capacity into discrete token units that can be individually allocated and traded. This tokenization approach divides the complex resource management problem into manageable atomic units, allowing flexible distribution without increasing overall infrastructure complexity.
Solution Approach 2:
The patent introduces blockchain-based smart contracts as an intermediary layer between network resources and users. This intermediary automates capacity allocation, billing, and management, reducing the need for complex human-managed infrastructure while increasing effective network capacity through automated orchestration.
2Reliability
If network capacity is rationed during disasters, then network stability is maintained, but service quality deteriorates
Solution Approach 1:
The patent implements dynamic capacity allocation where token distribution and pricing adjust automatically based on real-time network conditions, disaster severity, and user priority levels. This dynamic approach maintains network stability through automated throttling while preserving service quality for critical services during disasters.
Solution Approach 2:
The patent changes the parameter of capacity allocation from static to dynamic by using smart contracts that automatically adjust token distribution based on network load, disaster conditions, and service priorities. This allows the system to maintain stability while adapting service quality to current conditions without manual intervention.
3Reliability
If bandwidth allocation is optimized for priority services, then emergency response is improved, but overall network utilization decreases
Solution Approach 1:
The patent applies local quality by allocating premium token distribution and priority routing specifically to emergency and priority services, while allowing standard services to use remaining capacity. This ensures reliable emergency response through dedicated resources while maintaining overall network utilization by allowing non-critical services to use available bandwidth.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, providing, by a global node, a model to a group of nodes of a network, the model being associated with determining a configuration of the network for qubits; receiving, by the global node from one or more nodes of the group of nodes, updated model parameters, wherein the updated model parameters are generated by each of the one or more nodes via training of a local model utilizing the model and local data accessible to the particular node of the one or more nodes resulting in local nodes; generating, by the global node, an updated model based on the updated model parameters, the updated model being associated with determining the configuration of the network for the qubits; and providing, by the global node, the updated model to the group of nodes of the network, wherein the updated model facilitates managing distribution and usage of entangled qubit storage in devices of the network as reserve hybrid quantum-classical network capacity for bandwidth and computing. Other embodiments are disclosed.