Release Date: 2019-04-11
A new Jupyter Notebook, "Reverse Annealing," has been added to Learning and Docs under Leap Resources.
Reverse annealing is a technique that makes it possible to refine known good local solutions, thereby increasing performance for certain applications. It comprises (1) annealing backward from a known classical state to a mid-anneal state of quantum superposition, (2) searching for optimum solutions at this mid-anneal point while in the presence of an increased transverse field (quantum state), and then (3) proceeding forward to a new classical state at the end of the anneal.
Note: This Jupyter Notebook is for advanced users.