Application
Quantum Annealing versus Classical Machine Learning Applied to a Simplified Computational Biology Problem

Here we studied the ability of a quantum machine learning approach to classify and rank binding affinities. Using simplified data sets of a small number of DNA sequences derived from actual binding affinity experiments, we trained a commercially available quantum annealer to classify and rank transcription factor binding.

INDUSTRY : Life Sciences
DISCIPLINE : Optimization