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What is AIRouting doing step by step?

Maeru
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⚡ Quantum Brief
AIRouting is a Qiskit tool using reinforcement learning to optimize quantum circuit routing by adapting gates to hardware coupling maps. It generates equivalent circuits while minimizing operational overhead. The tool may introduce extra CNOT gates (e.g., 13→14) during transpilation, altering the original circuit structure. This stems from built-in optimizations at level 1 or higher, applied before, during, or after routing. AIRouting’s RL agent is pretrained to navigate hardware constraints, ensuring compatibility with specific quantum processors. Its decisions prioritize fidelity and efficiency over exact gate preservation. Users can trace its steps via Qiskit’s documentation, which cites a preprint detailing the RL implementation. Clarifying code examples and transpilation settings helps diagnose unexpected gate additions. The tool balances automation with human oversight, requiring manual inspection of intermediate outputs to verify optimizations. Debugging involves checking optimization levels and coupling map alignment.
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Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Stack Overflow for Teams is now called Stack Internal. Bring the best of human thought and AI automation together at your work. Bring the best of human thought and AI automation together at your work. Learn more TeamsQ&A for workConnect and share knowledge within a single location that is structured and easy to search.I am trying to understand how AIRouting tool from qiskit is optimal for routing. Therefore I am trying to understand its choice of swap/ie the sequence of action applied. I feed a random cnot gates circuit that I optimize first using transpilation in "translation" mode. When I get the result of the routing there are additional cnot gate (13 --> 14) and circuit doesn't seem to match with my original one. The level of optimization is at minimum 1 it, so it is probably due to some optimization that are added prior or after routing or even during it. How can I know what they are and how can I know what the AIRouting tool actually do step by step ?The "Citation" section of the AI transpiling section of the documentation leads you to the preprint where you can look at the specific details of the implementation.The AIRouting pass uses a pretrained Reinforcement Learning (RL) agent to generate an equivalent circuit that respects the coupling map of the agent.It would be helpful if you clarify your question a bit more and add all the code of the specific case you mention, ideally using a code block (```).Thanks for contributing an answer to Quantum Computing Stack Exchange!But avoid …Use MathJax to format equations. MathJax reference.To learn more, see our tips on writing great answers.Required, but never shown By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy. Start asking to get answersFind the answer to your question by asking.Explore related questionsSee similar questions with these tags.To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Site design / logo © 2025 Stack Exchange Inc; user contributions licensed under CC BY-SA . rev 2025.11.20.37056

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