Quantum Optimization Engine for Packet Cluster Routing
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Solution Overview
Problem
In packet-switching networks, local decision-making at each node lacks a global perspective, leading to inefficiencies in packet routing and increased packet loss due to network congestion, particularly during peak traffic.
Innovation Solution
A system for packet cluster routing using quantum optimization within a distributed network, which involves deploying a quantum optimization engine across nodes to determine optimal data paths based on node-specific information such as memory size, response time, and latency, enabling more efficient packet routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If local decision-making is used at each node, then network autonomy is improved, but routing efficiency deteriorates due to lack of global perspective
Solution Approach 1:
A central controller acts as an intermediary between nodes, receiving node status information and computing optimal routing paths using quantum optimization algorithms. This mediator enables global perspective while maintaining node-level execution, resolving the contradiction between local autonomy and global efficiency.
Solution Approach 2:
The patent transitions from classical to quantum computing dimension, using quantum optimization algorithms that can simultaneously evaluate multiple routing paths and node states. This dimensional change enables the system to process global network information and determine optimal routes that classical algorithms cannot achieve.
2Productivity
If quantum optimization engine is deployed, then routing optimization is improved, but system complexity increases
Solution Approach 1:
The system segments the network into clusters with designated ingress and egress nodes, and deploys quantum optimization engines selectively at these boundary nodes rather than all nodes. This segmentation reduces overall system complexity while maintaining routing optimization capabilities where most needed.
Solution Approach 2:
The quantum optimization engine is designed as a universal solution that can be deployed on standard quantum computing hardware and integrated with existing network infrastructure. This multi-functionality approach allows the complex quantum system to interface with simpler classical network components, managing overall system complexity.
Data Source
AI summary
Systems, computer program products, and methods are described herein for packet cluster routing using quantum optimization within a distributed network. An example system receives data packets from a source to be transmitted to a target via a cluster of nodes in the distributed network. The example system retrieves information associated with each node in the cluster of nodes. The example system uses a quantum optimization engine to determine an optimal data path from an ingress node to an egress node in the cluster of nodes based on at least the information associated with each node. Upon determining the optimal data path, the example system routes the data packets from the source, via the optimal data path, to the target.