Discover dwave-examples/satellite-placement Open Source project

Stars
30
Rank 839,658 (Top 17 %)
Language
Python
License
Apache License 2.0
Created almost 5 years ago
Updated about 1 year ago

dwave-examples

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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

3d-bin-packing

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

Python

job-shop-scheduling

Determine a schedule for running a set of jobs.

Python

nurse-scheduling

A demo of a nurse scheduling model

Python

ev-charger-placement

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

Python

portfolio-optimization

Solve different formulations of the portfolio optimization problem.

Python

maximum-cut

Solve a max-cut problem using a quantum computer

Python

knapsack

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

Python

factoring

Factor numbers using a quantum computer

Python

mutual-information-feature-selection

Use mutual information to select features in a Titanic data set

Python

sudoku

Solve a Sudoku puzzle with a quantum computer

Python

structural-imbalance

Demo for analyzing the structural imbalance on a signed social network.

Python

circuit-fault-diagnosis

Find possible failing components on a circuit.

Python

clustering

Using a quantum computer to cluster data points

Python

qboost

Solve a binary classification problem with Qboost

Python

template

A template for code examples on this account. See for details on contribution guidelines.

Python

employee-scheduling

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

Python

graph-partitioning

Split a graph into two groups

Python

crop-rotation

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

Python

rna-folding

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

Python

feature-selection-cqm

Use a hybrid solver to select features from two data sets

Python

distributed-computing

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

Python

immunization-strategy

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.

Python

reservoir-management

Manage water levels in a reservoir by controlling water pumps.

Python

graph-coloring

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

Python

simple-ocean-programs

Examples of introductory Ocean programs and concepts.

Python

hybrid-computing-notebook

Create and use hybrid workflows to solve problems.

Jupyter Notebook

feature-selection-notebook

Feature selection for machine learning using mutual information.

Jupyter Notebook

antenna-selection

Demonstrate a max independent set problem with antennas

Python

maze

Simple example on how to construct a problem for a quantum computer

Python

job-shop-scheduling-cqm

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

Python

coordinated-multipoint-notebook

Use a quantum computer to decode cellphone signals

Jupyter Notebook

image-segmentation

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

Python

n-queens

Demonstrates how to formulate the n-queens problem as a QUBO, which we then solve using Leap’s hybrid solvers.

Python

cryptarithmetic

Solve cryptarithmetic addition puzzles using the LeapHybridCQMSampler.

Python

airline-hubs

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

Python

map-coloring

Select the colors used on the different regions of a map

Python

structural-imbalance-notebook

Analyze the structural imbalance on a signed social network.

Jupyter Notebook

factoring-notebook

Factor numbers using a quantum computer.

Jupyter Notebook

circuit-equivalence

Verify the equivalence of two electronic circuits using the LeapHybridDQMSampler.

Python

tour-planning

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

Python

paint-shop-optimization

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

Python

pipelines

A minimum vertex problem with pipelines

Python

reverse-annealing-notebook

Demonstrates reverse annealing on D-Wave quantum computers.

Jupyter Notebook

frequency-selection

Solve feasibility frequency assignment problem using LeapHybridSampler.

Python

mvrp

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

Python

flow-shop-scheduling

Flow Shop Scheduling example using the Quantum Hybrid NL Solver.

Python

diverse-solutions

Demonstrate techniques that help quantum applications find better, more robust solutions by comparing two generations of D-Wave 2000Q QPUs.

Python

NAE3SAT

Compare the performance of the Advantage QPU and the Advantage2 prototype on not-all-equal 3-satisfiability problems.

Python

pegasus-notebook

Learn the architecture of D-Wave's latest quantum computer.

Jupyter Notebook

kibble-zurek

Simulate Kibble-Zurek mechanism on a quantum computer

Python

dwave-examples/satellite-placement

dwave-examples

Reviews

Repository Details

More Repositories