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3_Grover_Algorithm_for_Database_Search

Grover's Algorithm for Database Search

Description

This project implements Grover's algorithm, a quantum algorithm that provides a quadratic speedup for searching an unstructured database compared to classical algorithms. While a classical search requires, on average, N/2 queries to a database of size N, Grover's algorithm requires only about sqrt(N) queries.

This implementation demonstrates how to find a specific "marked" item in a small search space.

Setup

  1. Install Python: Make sure you have Python 3.6 or later installed.

  2. Install Qiskit: Open your terminal or command prompt and install the Qiskit library:

    bash pip install qiskit

How to Run

  1. Navigate to this directory in your terminal.

  2. Run the grover_search.py script:

    bash python grover_search.py

    The script will define a marked item, build the corresponding Grover's circuit, execute it on a quantum simulator, and print the measurement results. The histogram of the results should show a high probability of measuring the marked item.

Files and Subdirectories