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Quantum Computing Implementation

A comprehensive implementation of quantum computing algorithms and protocols in multiple programming languages.

Project Structure

kapesit/
├── quantum/
│   ├── csharp/
│   │   ├── communication/
│   │   │   └── QuantumCommunication.cs
│   │   ├── cryptography/
│   │   │   └── QuantumCryptography.cs
│   │   ├── error_correction/
│   │   │   └── QuantumErrorCorrection.cs
│   │   ├── ml/
│   │   │   └── QuantumML.cs
│   │   ├── optimization/
│   │   │   └── QuantumOptimization.cs
│   │   └── simulation/
│   │       └── QuantumSimulation.cs
│   ├── go/
│   │   ├── communication/
│   │   │   └── quantum_communication.go
│   │   ├── cryptography/
│   │   │   └── quantum_cryptography.go
│   │   ├── error_correction/
│   │   │   └── quantum_error_correction.go
│   │   ├── ml/
│   │   │   └── quantum_ml.go
│   │   ├── optimization/
│   │   │   └── quantum_optimization.go
│   │   └── simulation/
│   │       ├── quantum_circuit.go
│   │       └── quantum_simulation.go
│   └── python/
│       ├── communication/
│       │   └── quantum_communication.py
│       ├── cryptography/
│       │   └── quantum_cryptography.py
│       ├── error_correction/
│       │   └── quantum_error_correction.py
│       ├── ml/
│       │   └── quantum_ml.py
│       ├── optimization/
│       │   └── quantum_optimization.py
│       └── simulation/
│           └── quantum_simulation.py

Features

Quantum Communication

  • Entangled pair generation
  • Quantum teleportation
  • Dense coding
  • Quantum state transfer

Quantum Cryptography

  • BB84 protocol implementation
  • Quantum key distribution
  • Message encryption/decryption
  • Eavesdropping detection
  • Key integrity verification

Quantum Error Correction

  • Shor code implementation
  • Error syndrome measurement
  • Error correction
  • State encoding/decoding

Quantum Machine Learning

  • Quantum feature mapping
  • Quantum kernel calculation
  • Quantum classification
  • Quantum classifier training
  • Rotation gate operations

Quantum Optimization

  • Quantum Approximate Optimization Algorithm (QAOA)
  • Quantum annealing
  • Phase separation
  • Parameter optimization
  • State measurement

Quantum Simulation

  • Quantum circuit simulation
  • Gate operations
  • State measurement
  • Controlled operations
  • Rotation gates

Implementation Details

C# Implementation

  • Uses System.Numerics for complex numbers
  • Thread-safe operations with locks
  • Object-oriented design
  • Strong typing and error checking

Go Implementation

  • Custom Complex type
  • Concurrent operations with mutexes
  • Memory-efficient state management
  • Error handling with panic/recover

Python Implementation

  • NumPy integration
  • Thread safety with RLock
  • Type hints
  • Resource management
  • Concurrent processing

Requirements

C#

  • .NET 6.0 or later
  • System.Numerics namespace

Go

  • Go 1.16 or later
  • Standard library only

Python

  • Python 3.8 or later
  • NumPy
  • Threading support

Usage

C#

using Kapesit.Quantum;

// Create a quantum communication instance
var qc = new QuantumCommunication(2);

// Generate entangled pair
var (state1, state2) = qc.GenerateEntangledPair();

// Perform quantum teleportation
var teleportedState = qc.QuantumTeleport(state1, new[] { state1, state2 });

Go

import "kapesit/quantum/communication"

// Create a quantum communication instance
qc := communication.NewQuantumCommunication(2)

// Generate entangled pair
state1, state2 := qc.GenerateEntangledPair()

// Perform quantum teleportation
teleportedState := qc.QuantumTeleport(state1, [][]Complex{state1, state2})

Python

from kapesit.quantum.communication import QuantumCommunication

# Create a quantum communication instance
qc = QuantumCommunication(2)

# Generate entangled pair
state1, state2 = qc.generate_entangled_pair()

# Perform quantum teleportation
teleported_state = qc.quantum_teleport(state1, [state1, state2])

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

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

Acknowledgments

  • Quantum Computing for Computer Scientists by Noson S. Yanofsky and Mirco A. Mannucci
  • Quantum Computation and Quantum Information by Michael A. Nielsen and Isaac L. Chuang
  • Qiskit documentation and examples

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