Dynamic Routing Protocols Using Quantum Optimization for Interference

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Solution Overview

Problem

Existing communication systems face challenges in dynamically optimizing routes due to dynamic interference and obstructions, particularly in satellite communications, which traditional binary computing methods fail to address effectively.

Innovation Solution

Implementing quantum computing and machine learning to dynamically determine and optimize communication routes, considering variables such as obstructions, satellite availability, and environmental conditions, using a hybrid quantum and classical approach.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional binary computing methods are used for route determination, then device complexity is reduced, but route optimization capability deteriorates due to inability to handle dynamic variables effectively

Engineering Contradiction:

Improveroute optimization capabilityVSAvoidcomputing system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional binary computing mechanisms with quantum computing mechanisms to handle route optimization. Quantum computers utilize quantum bits (qubits) and quantum algorithms to process complex routing problems with multiple dynamic variables, enabling effective optimization while maintaining manageable system architecture through quantum mechanical principles.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the fundamental computational parameters from binary states to quantum states, allowing the system to represent and process dynamic routing variables more effectively. This parameter change enables the system to handle the complexity of real-time route optimization with multiple interfering factors.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If dynamic route optimization is implemented using quantum computing, then route optimization capability is improved, but device complexity increases due to quantum computing requirements

Engineering Contradiction:

Improvedynamic route optimizationVSAvoidquantum computing infrastructure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the computing system into quantum and classical components, where the quantum computer handles specific route optimization tasks while classical systems manage other functions. This segmentation allows the system to achieve advanced optimization capabilities while distributing complexity across specialized components rather than requiring complete quantum system replacement.

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If quantum computing is used for route optimization, then measurement precision of communication conditions is improved, but loss of information may increase due to quantum state sensitivity

Engineering Contradiction:

Improvecommunication condition analysisVSAvoidquantum state information

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The patent implements feedback mechanisms that continuously monitor communication conditions and adjust quantum computations accordingly. This feedback loop allows the system to correct for quantum state sensitivities and maintain accurate information processing by adapting to changing environmental conditions in real-time.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent incorporates error correction and redundancy mechanisms that prepare for and compensate against potential quantum state errors before they affect the routing decisions. This beforehand cushioning protects against information loss by having backup quantum states and correction protocols in place.

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

Data Source

PatentUS20260052098A1Systems and methods for dynamic routing protocols

Publication Date: 2026.02.19 WELLS FARGO BANK NA

AI summary

Systems and methods for dynamic routing protocols are provided. A method includes receiving, using a computer system including a quantum computer, data related to a multipoint communication between a start point and an end point from one or more data sources, and calculating one or more routes for the multipoint communication between the start point and the end point using the data and based at least in part on a shortest route between the start point and the end point. Using the quantum computer, the one or more routes are optimized based on a communication status of one or more nodes along the route. The optimized routes are dynamically selected based on timing and performance requirements of the computer system, and the multipoint communication between the start point and the end point is executed using the optimized one or more routes.