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Name: Dynex SDK Templates

Type: User

Company: @Dynexcoin

Bio: Dynex is the world’s only accessible neuromorphic quantum computing cloud for solving real-world problems, at scale.

Blog: https://dynex.co

Dynex SDK Templates's Projects

graph_partitioning

Demonstration to solve the Graph Partitioning problem

The goal of the JobSequencing problem is as follows. Given workers and jobs, where each job has a designated length, assign each of the jobs to one of the workers such that largest total length assigned to a worker is minimized

kmeans_clustering

A demo on identifying clusters in a data set using the Dynex platform.

maximum_independent_set

Maximum Independent Set Template

mode-assisted-qrbm-pytorch

Demonstration of the Mode-Assisted Quantum-RBM as Python Class (PyTorch based) on an image classification task.

nae3sat_template

NAE3SAT Template

number_partitioning

Demonstration to solve the Number Partitioning problem

qcfd

Quantum Computational Fluid Dynamics (QCFD) Template

qrbm_image_classification

QRBM Image Classification Template

qsisr_template

Quantum Single Image Super-Resolution Template. This algorithm demonstrates formulating quantum SISR as a sparse coding optimization problem, which is solved using the Dynex Neuromorphic Quantum Computing Platform via the Dynex SDK. This AQC-based algorithm is demonstrated to achieve improved SISR accuracy.

qsvm_template

Quantum Support Vector Machine (QSVM) Template supporting the Google TensorFlow and PyTorch packages.

quantum-image-recognition

In this demo we will use the Dynex Quantum-RBM plugin to perform an image classification task

quantum-protein-folding

Protein folding is the physical process by which a protein chain attains its functional three-dimensional structure from a simple sequence of amino acids.