Use a hybrid solver to use the minimum number of bins to pack items with different dimensions

Solve different formulations of the portfolio optimization problem.

Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.

A demo of a nurse scheduling model

Implementation of knapsack problem, set up for scaling to large problem size

Solve a Sudoku puzzle with a quantum computer

Group satellites into constellations such that their average observation coverage is maximized

Schedule employees using a constrained quadratic model with a hybrid solver.

Solve the Vehicle Routing Problem (and its variants) using a hybrid solver and Qbsolv.

Finds the optimal stem configuration of an RNA sequence using the LeapHybridCQMSampler.

Minimize messaging between computers in a distributed computing system by using the LeapHybridCQMSampler. This problem is also known as the graph k-partitioning problem.

Finds optimal crop rotations for a set of crops to be planted in a connected set of plots using the LeapHybridDQMSampler.

Manage water levels in a reservoir by controlling water pumps.

Use a hybrid solver to select features from two data sets

Determine a schedule for running a set of jobs on a certain number of machines using the LeapHybridCQMSampler.

A demo of graph coloring using Leap's hybrid constrained quadratic model (CQM) solver.

Find the minimal number of immunization doses required to break the transmission cycle of a virus or infectious disease within a population. Solved using the LeapHybridCQMSampler.

Capacitated Vehicle Routing Problem example on D-Wave's hybrid solvers.

Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.

Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.