| |
|
|
| class QuantumComputingModel: |
| def __init__(self): |
| self.quantum_backend = None |
| self.classical_converter = None |
|
|
| def initialize_quantum_environment(self, backend="IBM_Q_Experience"): |
| print(f"Initializing quantum environment with backend: {backend}...") |
| |
| self.quantum_backend = {"name": backend, "status": "connected"} |
| self.classical_converter = {"status": "ready", "function": "quantum_to_classical"} |
| print("Quantum environment initialized.") |
|
|
| def execute_quantum_algorithm(self, algorithm_name, parameters): |
| print(f"Executing quantum algorithm \'{algorithm_name}\' with parameters: {parameters}...") |
| |
| quantum_result = {"algorithm": algorithm_name, "output": "quantum_computation_result"} |
| classical_result = self._convert_to_classical(quantum_result) |
| return classical_result |
|
|
| def _convert_to_classical(self, quantum_result): |
| print("Converting quantum result to classical format...") |
| |
| return f"Classical representation of {quantum_result["output"]}" |
|
|
| def perform_quantum_cryptography(self, data): |
| print(f"Performing quantum cryptography on data: {data[:50]}...") |
| |
| return f"Encrypted data using quantum-resistant methods: {data[::-1]}" |
|
|
| if __name__ == "__main__": |
| qcm = QuantumComputingModel() |
| qcm.initialize_quantum_environment() |
| print(qcm.execute_quantum_algorithm("shor_algorithm", {"number": 15})) |
| print(qcm.perform_quantum_cryptography("sensitive information")) |
|
|
