Search Results for author:
Found 2 papers, 0 papers with code
Learning to rank quantum circuits for hardware-optimized performance enhancement
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a training procedure conducted on real hardware.
Optimizing embedding-related quantum annealing parameters for reducing hardware bias
One way to deal with these imperfections and to improve the quality of the annealing results is to apply a variety of pre-processing techniques such as spin reversal (SR), anneal offsets (AO), or chain weights (CW).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
