Quantum Programming Framework download

What is QPF 2.6 ?

QPF 2.6 (or Quantum Programming framework 2.6) is a free simple and easy to use framework dedicated to supporting programmers who are developing
software for the D-wave one series of quantum computers.

Features

3 example high level quantum programs including TSP and Neural network generation
6 example low level quantum programs
A built in program which allows you to create low level programs for the D-wave range of quantum computers
Included source code for each program.

Project Samples

Project Activity

See All Activity >

Follow Quantum Programming Framework

Quantum Programming Framework Web Site

nel_h2

Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.

Transform user access with Frontegg CIAM: login box, SSO, MFA, multi-tenancy, and 99.99% uptime.

Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.

Start for Free

Rate This Project

User Ratings

3.0 out of 5 stars

★★★★★

★★★★

★★★

★★

★

ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

Filter Reviews:

All

cyasar Posted 2015-10-12

If we know the command help would be much nicer.

Additional Project Details

Operating Systems

Windows

Intended Audience

Developers

User Interface

Console/Terminal

Programming Language

Python

Related Categories

Python Neural Network Libraries

Registered

2015-09-14

Similar Business Software

DataMelt

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear...

See Software
Google Deep Learning Containers

Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized,...

See Software
AForge.NET

AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc. The work on the framework's improvement is in...

See Software
ChatGPT

ChatGPT is an AI-powered conversational assistant developed by OpenAI that helps users with writing, learning, brainstorming, coding, and more. It is free to use with easy access via web and apps on multiple devices. Users can interact through typing or voice to get answers, generate creative...

See Software
Darknet

Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if...

See Software
Torch

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and...

See Software