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Quantum Circuit Simulation with Filtering and Normalization

This repository contains a quantum circuit simulation using Qiskit. The project implements quantum gates, controlled operations, and ancilla-based filtering to analyze specific outcomes. The results are visualized as histograms, with options for filtering and normalization.

Features

• Construction of a complex quantum circuit with ancilla-based operations.
• Simulation using the Qiskit Aer simulator.
• Filtering of results based on ancilla qubit states.
• Visualization of results as raw, filtered, and normalized histograms.
• Requirement dependencies listed in requirements.txt.

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Installation

Prerequisites

• Python 3.8+
• pip package manager

Steps

1. Clone this repository:

   git clone https://github.com/your-repo-name.git
   cd your-repo-name

2. Install dependencies:

   pip install -r requirements.txt

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Usage

1. Run the simulation:

   python your_script_name.py

   Replace your_script_name.py with the name of the Python file containing the simulation.

2. View the output:

   • Histograms of results (raw, filtered, and normalized) will be displayed side-by-side in a single plot.

3. Modify the circuit or parameters as needed in the script.

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File Structure

• <script_name>.py: Main script for quantum circuit construction, simulation, and result analysis.
• requirements.txt: List of dependencies for the project.
• README.md: Documentation for the repository (this file).

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Example Outputs

1. Raw Results: Histogram of all measurement outcomes.
2. Filtered Results: Histogram filtered for cases where the ancilla qubit is 1.
3. Normalized Results: Filtered histogram with counts normalized to sum to 1.

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Dependencies

This project relies on the following Python packages:

• qiskit
• matplotlib
• numpy

For the full list, refer to requirements.txt.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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