PIRSA:24100065

AI methods for quantum circuit transpiling and optimization

APA

(2024). AI methods for quantum circuit transpiling and optimization. Perimeter Institute for Theoretical Physics. https://pirsa.org/24100065

MLA

AI methods for quantum circuit transpiling and optimization. Perimeter Institute for Theoretical Physics, Oct. 11, 2024, https://pirsa.org/24100065

BibTex

          @misc{ scivideos_PIRSA:24100065,
            doi = {10.48660/24100065},
            url = {https://pirsa.org/24100065},
            author = {},
            keywords = {Other Physics},
            language = {en},
            title = {AI methods for quantum circuit transpiling and optimization},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2024},
            month = {oct},
            note = {PIRSA:24100065 see, \url{https://scivideos.org/index.php/pirsa/24100065}}
          }
          
David Kremer Garcia
Talk numberPIRSA:24100065
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

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.