In computer science, normally we care about asymptotic speedup: We care about, “What is your running time as a function of the size of the problem? Does it grow linearly? Does it grow quadratically?” ...

Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics. The goal of a combinatorial optimization ...

The more important conclusion is that if you compare the scaling of time-to-solution with problem size, the D-Wave system scales in an identical manner to a quantum simulated annealing algorithm.

Quadrant is basically the new AI play from the D-Wave team, blending quantum annealing technology on the back end with a dash of machine learning on the front end. D-Wave has focused on the class of ...

Are powerful quantum computers finally here? Google is claiming that its D-Wave quantum computer can solve certain problems 100 million times faster than an ordinary computer, a result that it says ...

The classical approach to statistical analysis is usually based upon finding values for model parameters that maximize the likelihood function. Model choice in this context is often also based on the ...