Pauli Network Circuit Synthesis with Reinforcement Learning Paper Published

AI-powered transpiler pass available in Qiskit Transpiler Service since November 2024

Pauli Network Circuit Synthesis with Reinforcement Learning

Really happy to see the paper on arxiv. The described AI-powered transpiler pass for Pauli Networks has been available in the Qiskit Transpiler Service since last November 2024, as presented in the Quantum Developer Conference 2024 Check out the paper https://arxiv.org/abs/2503.14448 and the related documentation on how to use it https://docs.quantum.ibm.com/guides/ai-transpiler-passes#ai-circuit-synthesis-passes


Context: In response to Ayushi Dubal’s post about the Reinforcement Learning-based synthesis pass for Pauli Networks (Clifford + arbitrary angle Pauli rotation circuits). The research paper Pauli Network Circuit Synthesis with Reinforcement Learning was presented at the American Physical Society March Meeting in Anaheim.


Originally shared on LinkedIn on March 19, 2025 - 16 reactions, 2 comments as of 11/12/2025

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Juan Cruz-Benito
AI for Quantum Product Owner & Engineering Manager

Building the convergence of AI and Quantum Computing. Product Owner & Engineering Manager @ IBM Quantum

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