Create quantum_computing_integration.py

blockchain_integration/pi_network/pi_network_university/quantum_computing_integration/quantum_computing_integration.py

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+import qiskit
+
+# Load quantum circuit
+qc = qiskit.QuantumCircuit(5, 5)
+
+# Define quantum computing integration function
+def integrate_quantum_computing(course_data):
+    # Create a quantum circuit
+    qc.h(0)
+    qc.cx(0, 1)
+    qc.cx(1, 2)
+    qc.cx(2, 3)
+    qc.cx(3, 4)
+
+    # Run the circuit on a simulator
+    job = qiskit.execute(qc, qiskit.BasicAer.get_backend('qasm_simulator'))
+    result = job.result()
+
+    # Get the counts
+    counts = result.get_counts(qc)
+
+    # Use the counts to optimize course data
+    optimized_course_data = course_data.copy()
+    for i, count in enumerate(counts):
+        if count > 0:
+            optimized_course_data.iloc[i, :] = optimized_course_data.iloc[i, :] * count
+
+    return optimized_course_data