Explore D-Wave Ocean tools to solve quadratic optimization problems.
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Updated
Jul 31, 2023 - Jupyter Notebook
Explore D-Wave Ocean tools to solve quadratic optimization problems.
Solution and brief description of problems of contest.
Use a hybrid solver to select features from two data sets
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
Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.
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.
Solve cryptarithmetic addition puzzles using the LeapHybridCQMSampler.
A demo of graph coloring using Leap's hybrid constrained quadratic model (CQM) solver.
Finds the optimal stem configuration of an RNA sequence using the LeapHybridCQMSampler.
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.
Schedule employees using a constrained quadratic model with a hybrid solver.
Demonstrate a max independent set problem with antennas
Use a hybrid solver to use the minimum number of bins to pack items with different dimensions
CQF Clinical Reasoning on FHIR for Java
Solve different formulations of the portfolio optimization problem.
Implementation of knapsack problem, set up for scaling to large problem size
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