Metadata-Version: 2.1
Name: dynex
Version: 0.1.25
Summary: Dynex SDK Neuromorphic Computing
Home-page: https://github.com/dynexcoin/DynexSDK
Author: Dynex Developers
Author-email: office@dynexcoin.org
License: GPLv3
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Natural Language :: English
Classifier: Topic :: System :: Distributed Computing
License-File: LICENSE
Requires-Dist: pycryptodome>=3.18.0
Requires-Dist: dimod>=0.12.10
Requires-Dist: tabulate>=0.9.0
Requires-Dist: tqdm>=4.65.0
Requires-Dist: ipywidgets>=8.0.7
Requires-Dist: numpy

The Dynex SDK is a collection of open-source Python tools designed to tackle difficult problems using n.quantum computing. It helps adapt your applications challenges for resolution on the Dynex platform and manages the communication between your application code and the n.quantum system seamlessly. Programmers who are familiar with quantum gate circuit languages such as Qiskit, Cirq, Pennylane, OpenQASM, or quantum annealing tools like the Dimod framework, PyQUBO, and other QUBO frameworks, will find it easy to run computations on the Dynex neuromorphic computing platform. The Dynex SDK supports both quantum circuits and quantum annealing, but without the typical constraints associated with conventional quantum machines.
