Create grovers_algorithm.py

quantum_integration/quantum_algorithms/grovers_algorithm.py

@@ -0,0 +1,48 @@
+from qiskit import QuantumCircuit, Aer, execute
+from qiskit.visualization import plot_histogram
+import numpy as np
+
+def grovers_algorithm(n, target):
+    # Create a quantum circuit with n qubits
+    qc = QuantumCircuit(n, n)
+
+    # Initialize the target state
+    qc.h(range(n))  # Apply Hadamard to all qubits
+    qc.x(target)    # Flip the target qubit
+    qc.h(target)    # Apply Hadamard to the target qubit
+
+    # Oracle for the target state
+    qc = oracle(qc, n, target)
+
+    # Grover's diffusion operator
+    qc.h(range(n))
+    qc.x(range(n))
+    qc.h(target)
+    qc.x(target)
+    qc.h(range(n))
+
+    # Measure the qubits
+    qc.measure(range(n), range(n))
+
+    # Execute the circuit
+    backend = Aer.get_backend('qasm_simulator')
+    result = execute(qc, backend, shots=1024).result()
+    counts = result.get_counts()
+
+    # Plot the results
+    plot_histogram(counts).show()
+
+    return counts
+
+def oracle(qc, n, target):
+    # Implement the oracle for the target state
+    for qubit in range(n):
+        if qubit != target:
+            qc.x(qubit)  # Flip all qubits except the target
+    qc.h(target)
+    qc.mct(list(range(n)), target)  # Multi-controlled Toffoli gate
+    qc.h(target)
+    for qubit in range(n):
+        if qubit != target:
+            qc.x(qubit)  # Flip back the qubits
+    return qc