{"added":null,"apiVersion":1,"behindSince":null,"buildDepends":[],"categories":["python","science"],"comment":"DWave: Classical algorithms for solving binary quadratic models","compare":null,"dependentCount":null,"description":"Ocean software provides a variety of quantum, classical, and quantum-classical\ndimod samplers that run either remotely (for example, in D-Wave's Leap\nenvironment) or locally on your CPU.\n\ndwave-samplers implements the following classical algorithms for solving binary\nquadratic models (BQM):\n* Random: a sampler that draws uniform random samples.\n* Simulated Annealing: a probabilistic heuristic for optimization and\n  approximate Boltzmann sampling well suited to finding good solutions of large\n  problems.\n* Steepest Descent: a discrete analogue of gradient descent, often used in\n  machine learning, that quickly finds a local minimum.\n* Tabu: a heuristic that employs local search with methods to escape local\n  minima.\n* Tree Decomposition: an exact solver for problems with low treewidth.","flavors":[],"html":"https://daemonports.org/dragonfly/science/py-dwave-samplers/","kind":"port","lastUpdate":null,"license":["APACHE20"],"maintainer":"yuri@FreeBSD.org","name":"py311-dwave-samplers","newest":false,"newestVersion":"1.8.0","noVulnData":false,"origin":"science/py-dwave-samplers","otherSystems":[{"maintainer":"yuri@FreeBSD.org","newest":true,"origin":"science/py-dwave-samplers","path":"/science/py-dwave-samplers/","system":"FreeBSD","updated":"2026-08-20","version":"1.8.0"},{"maintainer":"yuri@FreeBSD.org","newest":true,"noVulnData":true,"origin":"science/py-dwave-samplers","path":"","system":"HardenedBSD","version":"1.8.0"},{"maintainer":"yuri@FreeBSD.org","newest":true,"noVulnData":true,"origin":"science/py-dwave-samplers","path":"","system":"GhostBSD","version":"1.8.0"}],"packages":null,"pkgName":"py311-dwave-samplers-1.3.0_1","related":null,"repository":"DPorts","requiredBy":["science/py-dwave-greedy","science/py-dwave-neal","science/py-dwave-ocean-sdk","science/py-dwave-system","science/py-dwave-tabu"],"requiredByCount":5,"runDepends":["lang/python311","math/py-networkx","math/py-numpy","science/py-dimod","textproc/py-reno"],"status":null,"system":"dragonfly","systemLabel":"DragonFly","version":"1.3.0_1","versions":null,"vulnerabilities":null,"www":"https://github.com/dwavesystems/dwave-samplers"}
