Create main.py

quantum_integration/main.py

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+import sys
+from quantum_algorithms.grovers_algorithm import grovers_algorithm
+from quantum_algorithms.shors_algorithm import shors_algorithm
+from quantum_algorithms.quantum_teleportation import quantum_teleportation
+from quantum_cryptography.quantum_key_distribution import quantum_key_distribution
+from quantum_cryptography.quantum_encryption import quantum_encryption
+from quantum_machine_learning.quantum_svm import quantum_svm
+from quantum_machine_learning.quantum_neural_network import quantum_neural_network
+
+def main():
+    print("Welcome to the Quantum Integration Project!")
+    print("Please choose an option:")
+    print("1. Grover's Algorithm")
+    print("2. Shor's Algorithm")
+    print("3. Quantum Teleportation")
+    print("4. Quantum Key Distribution")
+    print("5. Quantum Encryption")
+    print("6. Quantum Support Vector Machine")
+    print("7. Quantum Neural Network")
+    print("0. Exit")
+
+    while True:
+        choice = input("Enter your choice (0-7): ")
+
+        if choice == '1':
+            n = int(input("Enter the number of qubits: "))
+            target = int(input("Enter the target index (0 to n-1): "))
+            counts = grovers_algorithm(n, target)
+            print("Grover's Algorithm Results:", counts)
+
+        elif choice == '2':
+            N = int(input("Enter the number to factor (N): "))
+            counts = shors_algorithm(N)
+            print("Shor's Algorithm Results:", counts)
+
+        elif choice == '3':
+            counts = quantum_teleportation()
+            print("Quantum Teleportation Results:", counts)
+
+        elif choice == '4':
+            num_bits = int(input("Enter the number of bits for QKD: "))
+            bits, bases, counts = quantum_key_distribution(num_bits)
+            print("Alice's Bits:", bits)
+            print("Alice's Bases:", bases)
+            print("Measurement Results:", counts)
+
+        elif choice == '5':
+            message = input("Enter the message to encrypt: ")
+            encrypted_message, key = quantum_encryption(message)
+            print("Original Message:", message)
+            print("Encrypted Message:", encrypted_message)
+            print("Key Used:", key)
+
+        elif choice == '6':
+            # Generate synthetic data for classification
+            from sklearn.datasets import make_classification
+            from sklearn.model_selection import train_test_split
+
+            X, y = make_classification(n_samples=100, n_features=4, n_classes=2, random_state=42)
+            X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+            predictions = quantum_svm(X_train, y_train)
+            accuracy = accuracy_score(y_train, predictions)
+            print("Training Accuracy:", accuracy)
+
+        elif choice == '7':
+            # Generate synthetic data for classification
+            from sklearn.datasets import make_moons
+            from sklearn.model_selection import train_test_split
+
+            X, y = make_moons(n_samples=100, noise=0.1, random_state=42)
+            X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+            predictions = quantum_neural_network(X_train, y_train, X_test)
+            accuracy = accuracy_score(y_test, predictions)
+            print("Test Accuracy:", accuracy)
+
+        elif choice == '0':
+            print("Exiting the program.")
+            sys.exit()
+
+        else:
+            print("Invalid choice. Please try again.")
+
+if __name__ == "__main__":
+    main()