Flow Shop Scheduling example using the Quantum Hybrid NL Solver.
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Updated
Jun 15, 2024 - Python
Flow Shop Scheduling example using the Quantum Hybrid NL Solver.
This repository serves as a comprehensive collection of solutions and implementations for the Bin Packing 1D problem.
Capacitated Vehicle Routing Problem example on D-Wave's hybrid solvers.
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Solve feasibility frequency assignment problem using LeapHybridSampler.
Solve the multi-car paint shop optimization problem using the LeapHybridCQMSampler.
Use a hybrid CQM solver to optimize the modes of locomotion for a multi-leg tour
Verify the equivalence of two electronic circuits using the LeapHybridDQMSampler.
Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.
Select the colors used on the different regions of a map
Demonstrates how to formulate the n-queens problem as a QUBO, which we then solve using Leap’s hybrid solvers.
Solve cryptarithmetic addition puzzles using the LeapHybridCQMSampler.
Determine a schedule for running a set of jobs on a certain number of machines using the LeapHybridCQMSampler.
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
Create and use hybrid workflows to solve problems.
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.
Minimize messaging between computers in a distributed computing system by using the LeapHybridCQMSampler. This problem is also known as the graph k-partitioning problem.
Feature selection for machine learning using mutual information.
A demo of graph coloring using Leap's hybrid constrained quadratic model (CQM) solver.
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