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

Solve different formulations of the portfolio optimization problem.

Choose a set of antennas to maximize antenna coverage without any overlapping coverage.

Schedule employees subject to employee availability, forecasted shift requirements, and manager and trainee constraints.

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

Determine which items to include in a knapsack to maximize total value, subject to a capacity.

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.

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

Solve the multi-car paint shop optimization problem using the LeapHybridCQMSampler.

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

Use a hybrid CQM solver to optimize the modes of locomotion for a multi-leg tour

Solve cryptarithmetic addition puzzles using the LeapHybridCQMSampler.

Divide hospitals into groups to evenly distribute beds and minimize distance.

Flow Shop Scheduling example using the Quantum Hybrid NL Solver.

Distribute virtual machines in a way that evenly balances CPU and memory requirements across a set of hosts.

Choose features that promote diversity and strong relationships to the target variable.

Use the minimum number of bins to pack items with different dimensions, weights and properties.