Quantum Circuit Repair by Gate Prioritisation
This addresses the challenge of automated quantum circuit repair for researchers and engineers, representing an incremental improvement over existing methods.
The paper tackles the problem of repairing faulty quantum circuits by introducing QRep, an automated approach that prioritizes suspicious gates to improve efficiency, achieving complete repair for 70% of circuits and ranking faults within the top 44% for the rest.
Repairing faulty quantum circuits is challenging and requires automated solutions. We present QRep, an automated repair approach that iteratively identifies and repairs faults in a circuit. QRep uniformly applies patches across the circuit and assigns each gate a suspiciousness score, reflecting its likelihood of being faulty. It then narrows the search space by prioritising the most suspicious gates in subsequent iterations, increasing the repair efficiency. We evaluated QRep on 40 (real and synthetic) faulty circuits. QRep completely repaired 70% of them, and for the remaining circuits, the actual faulty gate was ranked within the top 44% most suspicious gates, demonstrating the effectiveness of QRep in fault localisation. Compared with two baseline approaches, QRep scales to larger and more complex circuits, up to 13 qubits.