Malicious Qubits - Home of qiskit_validation_addon

• Python package is in qiskit_validation_addon
• Finetuning and nonfinetuning workflows with models in respective train.py files.
• Testing data in testing/
• Training data in training/
• Validation data in validation/
• See a working example in examples/

Using the python package

from qiskit_validation_addon import classify_quantum_circuit

result = classify_quantum_circuit("""
OPENQASM 2.0;
include "qelib1.inc";
qreg q[2];
creg c[2];
h q[0];
cx q[0],q[1];
measure q[0] -> c[0];
measure q[1] -> c[1];
""")
print(result.label)  # "Malicious" or "Benign"
print(result.raw_response)  # Raw model output

THIS WORK IS BASED AN AUGMENTED DATASET BASED ON https://arxiv.org/abs/2402.13352