- By:
- Nguyen, Thien M; Bassman, Lindsay; Liakh, Dmytro ; Lotshaw, Phillip C; Mccaskey, Alexander J; Bennink, Ryan S; Leyton Ortega, Vicente A; Pooser, Raphael C; Humble, Travis S; de Jong, Wibe
- Page Number:
- 80-87
- Book Title:
- 2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS)
- Publication Date:
- November 9, 2023
- Publisher Location:
- IEEE, New Jersey, United States of America
- Conference Name:
- Supercomputing 2021
- Conference Location:
- St Louis, Missouri, United States of America
- Conference Sponsor:
- IEEE CS; ACM
- View DOI Listing:
- https://doi.org/10.1109/QCS54837.2021.00013
Abstract
Hybrid quantum-classical workflows have become standard methods for executing variational algorithms and other quantum simulation techniques, which are key applications for noisy intermediate scale quantum (NISQ) computers. Validating these simulations is an important task which helps gauge the progress of quantum computer development, and classical simulation can serve as a tool to this end. Both exact and more scalable approximate methods with quantifiable error bounds can be used in validation tasks where the applicable metrics include the distance from a calculable ground truth, the quality of an error model fit to data, etc. Here we present a library extension that includes methods for validation of quantum simulations based on scalable hybrid workflows executable on high performance computers. We provide examples that use approximate methods based on tensor networks and stabilizer simulators to bound the error of quantum simulations on NISQ hardware.
