Quantum Event Manipulation Prevention via AI-Assisted Qubit Entanglement

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Solution Overview

Problem

Current systems face challenges in real-time identification of manipulative events within computer networks, leading to delayed prevention and potential unauthorized processing.

Innovation Solution

The integration of Artificial Intelligence (AI)-assisted quantum computing, where historical events are analyzed using Machine Learning algorithms and converted into qubit sequences for entanglement, allowing for real-time determination of manipulation indicators and prevention of event manipulation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If rule-based verifications are performed after event authorization, then event manipulation detection is possible, but real-time prevention capability is lost

Engineering Contradiction:

Improvemanipulative event detection accuracyVSAvoidtime delay in event manipulation detection

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by analyzing event attributes against historical manipulative event patterns before event processing begins. The quantum computing platform pre-processes historical events to create entangled qubit sequences that can be rapidly compared with new events, enabling real-time detection without waiting for post-processing verification.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces classical mechanical rule-based verification systems with a quantum computing-based detection system. By encoding event attributes into qubit sequences and using quantum entanglement for pattern matching, the system achieves exponentially faster manipulation detection compared to traditional classical computing approaches.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If classical computing platforms process historical events in batches, then manipulation indicators can be determined, but real-time processing speed is insufficient

Engineering Contradiction:

Improvebatch event processing throughputVSAvoidreal-time event processing speed

Core Design Contradiction:

ProductivityVSSpeed

Solution Approach 1:

The patent substitutes classical batch processing with quantum computing for real-time event analysis. The quantum computing platform processes event attributes through quantum algorithms that operate on superposition and entanglement, achieving real-time processing speeds that are exponentially faster than classical batch processing capabilities.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary quantum processing of historical events to create entangled qubit sequences in advance. This pre-processing enables rapid comparison with new events in real-time, as the quantum system can immediately leverage the pre-computed entangled states for pattern matching without requiring sequential batch processing.

Inventive Principle:

Principle #10Preliminary action

3Loss of time

If quantum computing is used to transform historical events to qubit sequences, then real-time manipulation detection becomes possible, but system complexity increases

Engineering Contradiction:

Improvereal-time processing timeVSAvoidquantum-classical hybrid system complexity

Core Design Contradiction:

Loss of timeVSDevice complexity

Solution Approach 1:

The patent segments the system into distinct functional components: a classical computing platform for data collection, event attribute extraction, and manipulation indicator determination, and a quantum computing platform for qubit sequence transformation and entanglement. This segmentation allows each component to be optimized independently and simplifies the overall architecture by clearly defining boundaries between classical and quantum operations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces qubit sequences as an intermediary representation between classical event data and quantum processing. Classical event attributes are transformed into qubit sequences that serve as the interface between the classical and quantum systems, enabling seamless data exchange while isolating the complexity of quantum operations from the classical event processing layer.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11809960B2Systems for real-time event manipulation prevention through artificial intelligence-assisted quantum computing

Publication Date: 2023.11.07 BANK OF AMERICA CORP

AI summary

Real-time prevention of computerized event manipulation through the use of Artificial Intelligence (AI)-assisted quantum computing. Determine, at an event request time, if the event is being manipulated and/or is part of a manipulation scheme and, if so, prevent the event from being initiated. A classical computing platform analyzes a batch of historical events using AI including machine learning classification algorithms to result in a manipulation indicator for each of the historical events. A quantum computing platform converts each of the historical events in the batch to a qubit sequence based on attributes associated with the events. The qubits are entangled with qubits of a primary qubit sequence and maintained an entangled list. When an event is requested, attributes associated with the pending event are communicated to the quantum computing platform, which transforms/converts the pending event to the primary qubit sequence based on the attributes associated with the pending event.