Mastercard International Incorporated (20240320296). Determining Matching Data simplified abstract

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Determining Matching Data

Organization Name

Mastercard International Incorporated

Inventor(s)

Nicola Mariella of Oranmore (IE)

Determining Matching Data - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240320296 titled 'Determining Matching Data

    • Simplified Explanation:**

The patent application describes a method for image matching using a quantum computer in communication with a classical computer. The process involves generating input data, creating a graph representation, augmenting the graph, and performing iterations to match two graphs.

    • Key Features and Innovation:**
  • Utilizes a quantum computer for image matching.
  • Involves classical computer for data processing and graph generation.
  • Iterative process with permutation parameters to match graphs.
  • Minimizes loss to determine isomorphism between graphs.
    • Potential Applications:**
  • Image recognition and matching in various industries.
  • Pattern recognition in security systems.
  • Data analysis and comparison in scientific research.
    • Problems Solved:**
  • Efficient image matching process.
  • Improved accuracy in graph comparison.
  • Utilizes quantum computing for complex data analysis.
    • Benefits:**
  • Faster and more accurate image matching.
  • Enhanced security systems with pattern recognition.
  • Advanced data analysis capabilities.
    • Commercial Applications:**
  • Quantum image matching software for security companies.
  • Data analysis tools for research institutions.
  • Image recognition technology for various industries.
    • Prior Art:**

Prior research on quantum computing applications in image recognition and graph matching.

    • Frequently Updated Research:**

Stay updated on advancements in quantum computing for image recognition and graph matching.

    • Questions about Image Matching with Quantum Computing:**

1. How does the quantum computer enhance the image matching process compared to classical methods? 2. What are the potential limitations of using quantum computing for image matching?


Original Abstract Submitted

the computer implemented image matching method involves the use of a quantum computer communicating with a classical computer. the method includes the following steps: (a) the classical computer receives input data. (b) the classical computer generates an input graph representing the input data, (c) the classical computer augments the input graph, (d) an iteration block is performed. (e) the iteration block is repeated using the new permutation parameter, the permuted first adjacency matrix, and a new existing graph until a threshold is met. in the first iteration of the iteration block, the accumulated permutation is the identity, making the permuted first adjacency matrix equal to the first adjacency matrix. the first graph is isomorphic with the second graph when the loss is minimized, indicating a match between the first data and the existing data.

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