Skip to content

Quantum-Based Fraud Detection (QBFD) is a quantum algorithm designed to detect fraudulent activities in financial transactions using quantum computing principles.

License

Notifications You must be signed in to change notification settings

QuantaScriptor/Quantum-Based-Fraud-Detection-QBFD

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Quantum-Based Fraud Detection (QBFD)

DALL·E 2024-07-25 16 28 12 - A high-resolution banner for a GitHub project titled 'Quantum-Based Fraud Detection (QBFD)'  The banner should be futuristic and visually appealing, w

Description

Quantum-Based Fraud Detection (QBFD) is a quantum algorithm designed to detect fraudulent activities in financial transactions using quantum computing principles.

Offering

This project is available for purchase. For inquiries regarding pricing and licensing, please contact us at quantascript@gmail.com.

Mathematical Equations

  1. Quantum Superposition: Initializing quantum states

    | ψ ⟩ = H | 0 ⟩ n

  2. Measurement: Collapsing quantum states to detect fraud

    M ( | ψ ⟩ ) = | x ⟩ with probability | ⟨ x | ψ | 2

Installation

To use QBFD, you'll need to install the following dependencies:

  • numpy
  • pandas
  • qiskit

You can install them using pip:

pip install numpy pandas qiskit

Usage

  1. Clone the repository:
    git clone https://github.com/QuantaScriptor/Quantum-Based-Fraud-Detection-QBFD.git
  2. Navigate to the project directory:
    cd Quantum-Based-Fraud-Detection-QBFD
  3. Run the script:
    python qbfd.py

License

This project is licensed under the GNU Affero General Public License v3.0. See the LICENSE file for details.