Title: Solving binary optimization problems using a quantum computer
Abstract: D-Wave builds processors designed to solve discrete optimization problems. These processors are built using superconducting metals and operated at ultralow temperatures. The processors implement a novel algorithm called quantum annealing that draws samples from a probability distribution defined over an Ising model. Here we introduce the technology and show performance results. We then connect the problem the hardware natively solves to potential uses in machine learning and specifically to L0-norm sparse coding.