Repositories
arcondello/planarity
Planar graph algorithms
arcondello/openblas-libs
arcondello/feature-selection
Use a hybrid solver to select features from two data sets
arcondello/cibuildwheel
🎡 Build Python wheels for all the platforms with minimal configuration.
arcondello/penaltymodel
Utilities and interfaces for using penalty models.
arcondello/dwave-preprocessing
Common preprocessing tools that can aid in solving binary quadratic models (BQM).
arcondello/flow-shop-scheduling
Flow Shop Scheduling example using the Quantum Hybrid NL Solver.
arcondello/cython
The most widely used Python to C compiler
arcondello/job-shop-scheduling-cqm
Determine a schedule for running a set of jobs on a certain number of machines using the LeapHybridCQMSampler.
arcondello/rectangle-packer
Rectangle packing program
arcondello/dwave_micro_client
A minimal implementation of the REST interface used to communicate with D-Wave Solver API (SAPI) servers.
arcondello/portfolio-optimization
Solve different formulations of the portfolio optimization problem.
arcondello/dwave-samplers
EXPERIMENTAL
arcondello/dwave-system
arcondello/dwave-sklearn-plugin
arcondello/3d-bin-packing
Use a hybrid solver to use the minimum number of bins to pack items with different dimensions
arcondello/dwave-gate
arcondello/rna-folding
Finds the optimal stem configuration of an RNA sequence using the LeapHybridCQMSampler.
arcondello/minorminer
minorminer is a heuristic tool for minor embedding: given a minor and target graph, it tries to find a mapping that embeds the minor into the target.
arcondello/papilo
Parallel Presolve for Integer and Linear Optimization
arcondello/dwave_networkx
Source repository for D-Wave NetworkX.
arcondello/NAE3SAT
Compare the performance of the Advantage QPU and the Advantage2 prototype on not-all-equal 3-satisfiability problems.
arcondello/paint-shop-optimization
Solve the multi-car paint shop optimization problem using the LeapHybridCQMSampler.
arcondello/dwave-ocean-sdk
arcondello/HiGHS
Linear optimization software
arcondello/D-Wave-VRP
Solve the Vehicle Routing Problem (and its variants) using a hybrid solver and Qbsolv.
arcondello/numpy
The fundamental package for scientific computing with Python.
arcondello/qbsolv
Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)
arcondello/Line-up-optimization
Optimize the initial line-up of Liverpool FC using the LeapHybridSampler.