Noise-adaptive SABRE compiler for NISQ hardware | 2026 CCF quantum computing challenge, algorithm track
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Updated
Sep 29, 2026 - Python
Noise-adaptive SABRE compiler for NISQ hardware | 2026 CCF quantum computing challenge, algorithm track
LLM-driven evolutionary search that discovers a better qubit-layout heuristic than the one it starts with, measured by the two-qubit gate count Qiskit emits after routing. Runs on the qBraid AI Gateway or your own GPU.
Topology-aware modular quantum layout and abstract routing optimizer for Qiskit. Reduces communication cost and inter-chip hops on multi-chip hardware graphs.
Noise-adaptive quantum circuit compiler that selects among many candidate compilations by estimating the true noisy success rate. 2nd place, CCF 2026 Quantum Compilation Challenge (algorithm track): public-set score 0.791 vs 0.670 official baseline (+18%).
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