# Qiskit Qward Project Overview

Qiskit Qward is a framework for analyzing and validating quantum algorithm execution quality on quantum processing units (QPUs). It provides a structured approach for building quantum validators that can be used to assess how well quantum circuits perform on real hardware.

## Key Components

The framework consists of several key components:

1. **Scanning Quantum Circuit System**: 
   - Extends Qiskit's QuantumCircuit to provide validation and scanning capabilities
   - Handles circuit creation, simulation, and execution on IBM Quantum hardware
   - Provides a standardized interface for implementing quantum validators

2. **Analysis Framework**:
   - Processes execution results to extract meaningful insights
   - Includes success rate analysis to evaluate algorithm performance
   - Supports visualization of results for better understanding

3. **Example Implementations**:
   - **Flip Coin Validator**: A simple quantum coin flip example showcasing basic superposition
   - **Two Doors Enigma Validator**: A more complex validator implementing the quantum solution to the "two doors enigma" puzzle

## Getting Started

To get started with Qiskit Qward, refer to the [Quickstart Guide](quickstart_guide.md) for installation instructions and basic usage patterns.

## Documentation Structure

- **Beginner's Guide**: Introduction to quantum validation concepts
- **Quickstart Guide**: Installation and basic usage
- **Technical Documentation**: Detailed component descriptions
- **Tutorials**: Step-by-step guides for common tasks
- **How-Tos**: Practical examples for specific use cases
- **API Documentation**: Full API reference

## Project Goals

The primary goals of the Qiskit Qward project are:

1. Provide tools to evaluate quantum algorithm performance
2. Enable comparison between simulated and real hardware execution
3. Support quantum algorithm validation through standardized metrics
4. Create a framework for consistent quantum experiment design

## Background

Qward is a framework for analyzing and validating quantum code execution quality on quantum processing units (QPUs). As quantum computing continues to evolve, developers and researchers need tools to understand how their quantum algorithms perform on real hardware.

## Solution Explanation

Qward helps bridge the gap between theoretical quantum algorithms and their practical implementation by providing:

- Execution tools for quantum circuits on QPUs
- Comprehensive metrics collection systems
- Analysis frameworks for circuit performance
- Validation tools for algorithm correctness
- Insights about QPU behavior and limitations
- Comparison capabilities across different backends

This framework enables researchers and developers to identify performance bottlenecks, understand error sources, and optimize their quantum algorithms for specific hardware implementations.

## Current Implementation Status

The project is under active development with the following status:

### Implemented Features
- Base validator system (extends Qiskit's QuantumCircuit)
- Algorithm validators (Teleportation, FlipCoin)
- Circuit execution on simulators and IBM Quantum hardware
- Basic analysis framework with success rate validator
- Circuit metrics collection (depth, width, size, etc.)
- Execution metrics (basic success rates)

### In Progress / Coming Soon
- Experiments framework
- Parameter correlation analysis
- Fixed parameter testing
- Dynamic parameter testing
- Depth analysis
- Target performance testing
- Advanced analysis capabilities
- Visualization tools
- Complete data management
- Integration with Qiskit ecosystem