AI methods for quantum circuit transpiling and optimization
APA
(2024). AI methods for quantum circuit transpiling and optimization. Perimeter Institute. https://pirsa.org/24100065
MLA
AI methods for quantum circuit transpiling and optimization. Perimeter Institute, Oct. 11, 2024, https://pirsa.org/24100065
BibTex
@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}} }
David Kremer Garcia
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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.