Quantum Network Link Optimizer for Traffic Peak Management

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Solution Overview

Problem

Quantum computing networks face limitations in bandwidth due to available qubits and network links, with superdense encoding offering reduced bandwidth usage but being expensive to implement, and existing systems lack proactive preparation for demand, leading to increased latency and downtime.

Innovation Solution

A quantum computing system that proactively prepares and distributes entangled qubits based on forecasted demand, using a demand estimator and network management layer to anticipate and manage superdense communication channels, reducing latency and downtime by ensuring efficient resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If superdense encoding is implemented to reduce bandwidth usage, then bandwidth efficiency is improved, but implementation cost and complexity increase

Engineering Contradiction:
Improvebandwidth usageVSAvoidimplementation complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The system proactively prepares and distributes entangled qubit pairs in advance based on forecasted demand, rather than waiting for actual communication needs. This preliminary action allows superdense encoding resources to be pre-established, reducing the complexity of on-demand implementation while maintaining bandwidth efficiency benefits

Inventive Principle:
Principle #10Preliminary action

2Loss of time

If qubits are prepared and distributed in advance to meet demand, then latency is reduced, but resource allocation complexity increases

Engineering Contradiction:
ImprovelatencyVSAvoidresource allocation complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system employs a demand estimator that continuously monitors network conditions and provides feedback to the qubit distribution mechanism. This feedback loop enables dynamic adjustment of resource allocation based on actual demand patterns, reducing latency by preparing qubits proactively while managing allocation complexity through intelligent control

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The qubit distribution system transitions from static allocation to dynamic allocation based on forecasted demand. The system adapts its resource distribution in real-time according to network conditions and communication needs, optimizing latency performance while managing complexity through adaptive control mechanisms

Inventive Principle:
Principle #15Dynamics

3Productivity

If entangled qubit pairs are distributed proactively based on forecasted demand, then network responsiveness is improved, but system complexity increases

Engineering Contradiction:
Improvenetwork responsivenessVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary qubit pair distribution based on forecasted demand patterns, preparing communication resources in advance before actual network needs arise. This proactive approach improves network responsiveness by eliminating setup delays while managing system complexity through prediction-based control

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The demand estimator and qubit distribution system operate autonomously, with the system self-regulating its resource allocation based on monitored demand patterns. This self-service capability improves responsiveness by eliminating manual intervention requirements while containing system complexity through automated decision-making mechanisms

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The proactive preparation of superdense communication channels decreases latency and reduces downtime by ensuring efficient resource allocation, meeting expected demands and optimizing network performance.

Implementation Method 1

A pair of qubits may also experience a physical phenomenon referred to as 'entanglement,' in which the quantum state of each qubit may not be described independently of the state of the other qubit.

Methodology Applied
Scientific EffectQuantum entanglement:

Data Source

PatentUS20240187344A1Superdense network link optimiser to address traffic peaks
Publication Date: 2024.06.06 RED HAT INC
  • US20240187344A1 patent drawing
  • US20240187344A1 patent drawing
  • US20240187344A1 patent drawing

AI summary

An event is determined on a quantum network. A forecasted budget is determined for one or more entangled qubits for communicating at least a portion of one or more communication packets to a recipient interface over the quantum network with a superdense protocol. One or more first qubits that are respectively entangled with one or more second qubits are retrieved. Transmission of the one or more second qubits to the recipient interface is initiated.