dynexcoin

Dynex [DNX]'s repositories

Dynex

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

Language:C++MIT137 27 82

DynexSDK

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

Language:Jupyter Notebook18 20

Dynex has also developed a proprietary circuit design, the Dynex Neuromorphic Chip, that complements the Dynex ecosystem and turns any modern G into a neuromorphic computing chip by simulating its equations of motion. This implementation proofs the mathematical model.

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Dynex-Whitepaper

With the end of Moore’s law approaching and Dennard scaling ending, the computing community is increasingly looking at new technologies to enable continued performance improvements. A neuromorphic computer is a nonvon Neumann computer whose structure and function are inspired by biology and physics. Today, such systems can be built and operated using existing technology, even at scale, and are capable of outperforming current quantum computers.

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codespaces-dynex

Explore computing on the Dynex Neuromorphic Platform with Codespaces

Language:Jupyter NotebookMIT400

DynexSolve

Mining software supporting algo DynexSolve

Language:C++4 5 9

cryptonote-nodejs-pool

Reference Implementation of a mining pool for DynexSolve

Language:JavaScriptGPL-2.03 10

aio-dynex

walletd async python lib

Language:Python2 10

dynexcoin

The Neuromorphic Computing Platform based on a new flexible blockchain protocol

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autoqubo

Automatic tool for converting a high-level description of an optimization problem, written in Python, into an equivalent QUBO.

Language:PythonBSD-3-Clause-Clear1 10

Dynex-Qiskit

Package to execute IBM Qiskit programs and circuits on the Dynex Neuromorphic platform

Language:PythonMIT1 20

dynexsdk_testnet

Dynex is the world’s first neuromorphic supercomputing blockchain based on the DynexSolve chip algorithm, a Proof-of-Useful-Work (PoUW) approach to solving real-world problems. The Dynex SDK is used to interact and compute on the Dynex Platform.

Language:C++100

QCFD

Implementation of QC in Computational Fluid Dynamics (CFD) as QUBO/Ising Problem using DYNEX Neuromorphic Computing

Language:Jupyter NotebookMIT100

QSVM_Tensorflow

Dynex is a next-generation platform for neuromorphic computing based on a new flexible blockchain protocol.

Language:Jupyter Notebook1 20

QSVM_Tensorflow_dev

Dynex Quantum Support Vector Machine (Tensorflow layer)

Language:Jupyter Notebook1 10

dimod

A shared API for QUBO/Ising samplers.

Language:PythonApache-2.0010

Dynex-Miningcore

Miningcore with DynexSolve implementation

Language:CMIT000

dynex-pouw-dashboard

Dynex PoUW Dashboard Plugin

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Dynex_offline_signature

Dynex offline signature client. Allows users to maintain their secret spend keys entirely offline.

Language:C++000

Enzyme-TargetPrediction_QUBO-Ising

Using Binary Quadratic Model (BQM) to predict the optimal transformation from Predecessor to Target Molecule Product using QUBO

Language:Jupyter NotebookMIT000

hepqpr-qallse

The HEPQPR.Qallse project encodes the HEP (ATLAS) pattern recognition problem into a QUBO and solves it using Dynex or other classical QUBO libraries (qbsolv, neal). Master's project (2019).

Language:Jupyter NotebookApache-2.0000