M.Sc. Dissertation – Noise-Adaptive Reinforcement Learning Strategies for Qubit Routing
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Updated
May 30, 2024 - Python
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qubit-routing
Here are 4 public repositories matching this topic...
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.
ai compiler optimization transpiler quantum-computing qiskit evolutionary-search llm qbraid vllm qubit-routing qubit-mapping alphaevolve shinkaevolve
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Sep 18, 2026 - Python
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%).
quantum-computing stim compiler-optimization quantum-compiler quantum-circuits cirq nisq qubit-routing qubit-mapping
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Oct 26, 2026 - Python
Graph RL router that uses live IBM calibration data to route quantum circuits for higher fidelity than SABRE baselines. Code + results for arXiv:2606.12816
reinforcement-learning quantum-computing quantum-circuits graph-neural-networks qubit-routing calibration-aware
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Jul 23, 2026 - Python
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