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

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NebulaChainSystem-全币种矿池加密系统,基于RUST编写，性能极高，算法独家升级，服务费平稳0算力损耗，Web后台实时查看服务费情况，支持本地部署混淆加密客户端，Web后台访问。Web界面操作，简单易用，一键安装，小白可以轻松上手。开机自启动，进程守护运行，自动调整连接数限制。这是一款免费的程序软件，不收取任何的费用，仅需要终端设备计算能力的0.02%作为开发服务费。

Hello World Template

Reference Implementation of a mining pool for DynexSolve

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

Quantum Computational Fluid Dynamics (QCFD) Template

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

Dynex large transaction chain monitor (dnx_large_txs.py → WordPress)

Maximum Independent Set Template

Demonstration to solve the Vertex Cover problem

0xDNX DHIP richlist WordPress plugin (holder table, transactions, Schema.org)

Demonstration to solve the Number Partitioning problem

Demonstration to solve the Set Cover problem

This demo program takes an RNA sequence and applies a quadratic model in pursuit of the optimal stem configuration.

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

This quantum algorithm explores the problem of optimally grouping a set of satellites into constellations to observe specific targets on Earth.

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.

Quantum Binary Integer Linear Programming example

Scikit-Learn Plugin Template