Shehab Omar, IonQ
Nielsen Physics Bldg., Room 307
Monday, January 27
Talk: 11 – 12
Pizza: 12 – 1
Noisy-intermediate scale quantum (NISQ) computers have arguably entered the post-quantum era. After introducing the NISQ computing paradigm, I will show how to express abstract computational problems into NISQ problems and design algorithms for them. Because of high hardware noise, noise mitigation is highly desirable for such algorithms. I will discuss two such schemes with experimentally demonstrated results. Finally, I will provide an outlook on how to prepare for the next wave of advances in the NISQ regime.
Omar Shehab received his PhD in computer science from UMBC in 2016. He joined IonQ, Inc., a University of Maryland based quantum computing startup, in 2017. His research focus is noisy-intermediate scale quantum algorithms, quantum programming language, and near-term hybrid quantum algorithm.