Welcome to the usage guide for QuantumNet-Core! This document provides examples of how to use the various modules and functionalities of the framework, along with API documentation for key classes and methods.
To use QuantumNet-Core, ensure that you have installed the framework as per the installation instructions. Once installed, you can start importing the necessary modules in your Python scripts.
You can create entangled qubits using the create_entangled_pair function from the entangler module. Here’s an example:
1 from src.entanglement.entangler import create_entangled_pair
2
3 # Create an entangled pair of qubits
4 qubit1, qubit2 = create_entangled_pair()
5 print(f"Entangled Qubits: {qubit1}, {qubit2}")
To visualize the entangled state, you can use the visualize_entanglement function:
1 from src.entanglement.entanglement_visualization import visualize_entanglement
2
3 # Visualize the entangled state
4 visualize_entanglement(qubit1, qubit2)
You can create quantum states using the StateVector class from the quantum_state module:
1 from src.quantum_state.state_vector import StateVector
2:
3 # Create a quantum state
4 state = StateVector([1, 0]) # Represents |0⟩ state
5 print(f"Quantum State: {state}")
To manipulate quantum states, you can apply operations such as measurement or transformation:
1 # Measure the quantum state
2 measurement_result = state.measure()
3 print(f"Measurement Result: {measurement_result}")
You can build quantum circuits using the Circuit class from the quantum_circuit module:
1 from src.quantum_circuit.circuit import Circuit
2
3 # Create a new quantum circuit
4 circuit = Circuit()
5 circuit.add_gate('H', target=0) # Apply Hadamard gate to qubit 0
6 circuit.add_gate('CNOT', control=0, target=1) # Apply CNOT gate
7 print("Quantum Circuit Built:")
8 print(circuit)
To execute the quantum circuit, use the execute method:
1 # Execute the quantum circuit
2 result = circuit.execute()
3 print(f"Circuit Execution Result: {result}")
StateVector(amplitudes: List[float])measure(): Measures the quantum state and returns the result.Circuit()add_gate(gate_type: str, target: int, control: Optional[int] = None): Adds a gate to the circuit.execute(): Executes the quantum circuit and returns the result.For more detailed information on each module and its functionalities, please refer to the respective API documentation files in the docs/ directory.
For further assistance or inquiries, please reach out to the maintainers or open an issue in the GitHub repository.