Quantum Logic Circuit for Gene Regulatory Network Prediction

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Solution Overview

Problem

Existing health-related predictive data analysis systems face challenges in computational efficiency and operational reliability due to the complexity of integrating predictive insights across the human population's genetic diversity, making them either ineffective or computationally costly.

Innovation Solution

The use of quantum logic circuits with quantum processing units and conjunctive phase logic operations to generate an optimal predictor set for gene regulatory networks, enabling efficient health-related predictive data analysis by identifying potential predictor sets and determining eligibility indicators based on gene expression data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If quantum logic circuits with quantum processing units and conjunctive phase logic operations are used, then computational efficiency is improved, but device complexity increases

Engineering Contradiction:

Improvecomputational efficiencyVSAvoiddevice complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces classical computational mechanisms with quantum computational mechanisms. Specifically, it uses quantum logic circuits comprising quantum processing units that perform conjunctive phase logic operations on quantum states representing gene regulatory network data, thereby achieving exponential speedup in identifying optimal predictor sets despite the increased complexity of quantum hardware

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transforms classical computational parameters into quantum parameters by encoding gene expression data and predictor set representations into quantum states. The system utilizes quantum superposition and entanglement to represent and manipulate multiple potential predictor sets simultaneously, changing the fundamental parameter space from classical bits to quantum bits with exponential capacity

Inventive Principle:

Principle #35Parameter changes

2Reliability

If quantum logic circuits are used to identify optimal predictor sets, then reliability in health-related predictive data analysis is improved, but ease of operation deteriorates

Engineering Contradiction:

Improveoperational reliabilityVSAvoidease of operation

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces quantum processing units as intermediaries between classical data input and classical output interpretation. These quantum intermediaries perform the complex computational task of evaluating multiple predictor sets through conjunctive phase logic operations, providing reliable results while shielding users from the operational complexity of quantum mechanics through automated quantum-classical interfaces

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12254960B2Quantum computing techniques for determining gene predictors in gene regulatory networks

Publication Date: 2025.03.18 OPTUM SERVICES IRELAND LTD

AI summary

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing health-related predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform health-related predictive data analysis by generating an optimal predictor set for a gene regulatory network using a quantum logic circuit that comprises one or more quantum logic subcircuits for each quantum processing unit that is associated with a quantum subcircuit and is configured to perform a conjunctive phase logic operation performed on each ancilla bit of a quantum subcircuit.