Optimize Quantum Circuits with AI-Powered Transpiler Passes
AI-Powered Quantum Circuit OptimizationExciting updates from our team at the convergence of AI and quantum computing! 🚀
We have released a bunch of new features in the Qiskit transpiler service and the Qiskit Code Assistant projects that continue unlocking the potential of applying classical AI into Quantum computing.
Recent releases include: 🔹 Beta version of the Qiskit transpiler service (unveiled at #THINK24) 🔹 Research paper on AI methods enabling AI-powered transpiler passes 🔹 Qiskit Code Assistant with accompanying paper introducing LLMs and the Qiskit HumanEval benchmark
Both projects have received recognition through the IBM Quantum Challenge, with fantastic feedback from participants who got to experience the power of AI-driven quantum optimization firsthand!
This work represents a major step forward in making quantum computing more efficient and accessible through the integration of artificial intelligence.
Original post: https://www.ibm.com/quantum/blog/ai-transpiler-passes
Originally shared on LinkedIn on June 17, 2024 - 39 reactions, 1 comment as of 11/12/2025
I research and develop AI-based systems to tackle complex problems in quantum computing and other relevant areas.
My work sits at the intersection of quantum computing, machine learning, and open source. I hold IBM Master Inventor status and have contributed to tools used by millions of developers worldwide.
I have a PhD in Computer Engineering from the University of Salamanca (2018), have authored 80+ publications, and received the 2019 SCIE-BBVA Award for best young researcher in Computer Science in Spain.