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What is Quantinuum Nexus?

Quantinuum Nexus serves as a cloud-based platform tailored for executing, assessing, and fostering collaboration on quantum computing projects. It adeptly integrates support for diverse quantum hardware providers through the utilization of pytket quantum programming tools, which not only enhance the performance of quantum circuits but also facilitate smooth transitions between various backends. Some of its key features include a centralized cloud interface that accommodates multiple quantum backends, preconfigured dedicated simulators—such as our emulator—a fully hosted JupyterHub environment, and automated storage for circuits, compilation processes, and results. Additionally, it provides secure data sharing options to facilitate collaboration with others. Nexus also centralizes all essential elements required to replicate experiments in one convenient location, preserving a detailed snapshot of the backend along with the settings and variables employed. By offering effective data management solutions, users can devote their attention to innovative pursuits rather than logistical challenges, ultimately enhancing the overall collaborative and productive experience in quantum computing. This comprehensive approach makes Nexus an invaluable tool for researchers and developers in the quantum field.

What is QC Ware Forge?

Explore cutting-edge, ready-to-use algorithms crafted specifically for data scientists, along with sturdy circuit components designed for professionals in quantum engineering. These comprehensive solutions meet the diverse requirements of data scientists, financial analysts, and engineers from a variety of fields. Tackle complex issues related to binary optimization, machine learning, linear algebra, and Monte Carlo sampling, whether utilizing simulators or real quantum systems. No prior experience in quantum computing is needed to get started on this journey. Take advantage of NISQ data loader circuits to convert classical data into quantum states, which will significantly boost your algorithmic capabilities. Make use of our circuit components for linear algebra applications such as distance estimation and matrix multiplication, and feel free to create customized algorithms with these versatile building blocks. By working with D-Wave hardware, you can witness a remarkable improvement in performance, in addition to accessing the latest developments in gate-based techniques. Furthermore, engage with quantum data loaders and algorithms that can offer substantial speed enhancements in crucial areas like clustering, classification, and regression analysis. This is a unique chance for individuals eager to connect the realms of classical and quantum computing, opening doors to new possibilities in technology and research. Embrace this opportunity and step into the future of computing today.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
JupyterHub
NVIDIA DRIVE
Quantxt Theia

Integrations Supported

Amazon Web Services (AWS)
JupyterHub
NVIDIA DRIVE
Quantxt Theia

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$2,500 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quantinuum

Date Founded

2021

Company Location

United States

Company Website

www.quantinuum.com/products-solutions/nexus

Company Facts

Organization Name

QC Ware

Date Founded

2014

Company Location

United States

Company Website

forge.qcware.com

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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