QSimVerifier: A Zero-Cost AI-Based Framework for Testing, Verification, and Optimization of Qiskit Circuits Using Local Simulators
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Abstract
Quantum computing uses qubits that can be in superposed and entangled states, letting some problems be represented and explored differently than with classical bits. It can speed up tasks such as molecular simulations, optimisation, and specific searches when a quantum algorithm matches the problem at hand. However, hardware is fragile: qubits decohere, gates are imperfect, crosstalk and noise accumulate, and long circuits often produce incorrect results. QSimVerifier helps by testing quantum programs before they run on real machines. It models device factors (coherence times, gate error rates, crosstalk, temperature), computes per-gate risk, and generates program variants to reveal fragile spots. The tool creates readable reports, visualizations, and hardware-specific recommendations, proposing mitigations such as simpler gate sequences or errormitigation techniques. By flagging high-risk gates and suggesting fixes, QSimVerifier raises confidence that programs will run correctly on available devices.
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