---
title: 'Pauli Network Circuit Synthesis with Reinforcement Learning Paper Published'
subtitle: 'AI-powered transpiler pass available in Qiskit Transpiler Service since November 2024'
summary: 'Celebrating the arxiv publication of the Pauli Network Circuit Synthesis with Reinforcement Learning paper. The AI-powered transpiler pass has been available in the Qiskit Transpiler Service since November 2024, as presented at Quantum Developer Conference 2024.'
authors:
- juancb
tags:
- Quantum Computing
- AI for Quantum
- Pauli Networks
- Reinforcement Learning
- Qiskit
- IBM Quantum
- Transpilation
categories:
- Quantum Computing
- Artificial Intelligence
- Research
date: "2025-03-19T00:00:00Z"
lastmod: "2025-03-19T00:00:00Z"
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  caption: 'Pauli Network Circuit Synthesis with Reinforcement Learning'
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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

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**Context:** In response to [Ayushi Dubal's post](https://www.linkedin.com/feed/update/urn:li:activity:7308037457931833344/) 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.

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*Originally shared on [LinkedIn](https://www.linkedin.com/posts/juancb_pauli-network-circuit-synthesis-with-reinforcement-activity-7308037457931833344-PyjS) on March 19, 2025 - 16 reactions, 2 comments as of 11/12/2025*