AI methods for quantum circuit transpiling and optimization

          @misc{ pirsa_PIRSA:24100065,
            doi = {10.48660/24100065},
            url = {https://pirsa.org/24100065},
            author = {},
            keywords = {Other},
            language = {en},
            title = {AI methods for quantum circuit transpiling and optimization},
            publisher = {Perimeter Institute},
            year = {2024},
            month = {oct},
            note = {PIRSA:24100065 see, \url{https://pirsa.org}}
          }
          

Abstract

The 2nd talk of a monthly webinar series jointly hosted by Perimeter, IVADO, and Institut Courtois. Speaker: David Kremer Garcia, AI Engineer & Lead Data Scientist, IBM Quantum, Yorktown Heights, NY, USA. In this session, I will talk about how we are using AI to improve quantum circuit transpiling and optimization. I will show some of our recent work, where we apply AI methods such as Reinforcement Learning to different transpiling tasks and achieve a remarkable balance between speed and quality of the results. I will also talk about how we integrate these methods with other heuristics to provide "ai-enhanced transpiling" through our Qiskit Transpiler Service.