Solve a Sudoku puzzle with a quantum computer
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Updated
Dec 14, 2023 - Python
Solve a Sudoku puzzle with a quantum computer
Implementation of knapsack problem, set up for scaling to large problem size
A demo of a nurse scheduling model
the awesome list of cross platform apps solutions(跨平台app方案合集)
Group satellites into constellations such that their average observation coverage is maximized
Solve different formulations of the portfolio optimization problem.
Solve the Vehicle Routing Problem (and its variants) using a hybrid solver and Qbsolv.
Use a hybrid solver to use the minimum number of bins to pack items with different dimensions
Schedule employees using a constrained quadratic model with a hybrid solver.
Demonstrates how to formulate the n-queens problem as a QUBO, which we then solve using Leap’s hybrid solvers.
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 a schedule for running a set of jobs on a certain number of machines using the LeapHybridCQMSampler.
Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
Select the colors used on the different regions of a map
Finds the optimal stem configuration of an RNA sequence using the LeapHybridCQMSampler.
Manage water levels in a reservoir by controlling water pumps.
Create and use hybrid workflows to solve problems.
A demo of graph coloring using Leap's hybrid constrained quadratic model (CQM) solver.
Solve cryptarithmetic addition puzzles using the LeapHybridCQMSampler.
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