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Average Ratings 2 Ratings
Description
Quantinuum Nexus is a cloud-centric platform designed to facilitate the execution, evaluation, and collaboration on quantum computing initiatives. It effectively incorporates support for a range of quantum hardware providers by utilizing the pytket quantum programming tools, which enhance circuit performance and enable seamless translation across different backends. Among its notable features are a unified cloud interface for various quantum backends, preinstalled dedicated simulators—including our emulator—a fully hosted and configured JupyterHub environment, automated storage solutions for circuits, compilation passes, and results, as well as secure data sharing capabilities with collaborators. Furthermore, Nexus consolidates all necessary components to reproduce your experiments in a single location, capturing a comprehensive snapshot of the backend alongside the utilized settings and variables. With its efficient data management solutions, users can focus more on innovation rather than logistical concerns, fostering a more productive and collaborative quantum computing experience.
Description
TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon SageMaker Debugger
Amazon SageMaker Model Training
Comet
Comet LLM
Deep.BI
E2E Cloud
Exafunction
Groq
Integrations
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon SageMaker Debugger
Amazon SageMaker Model Training
Comet
Comet LLM
Deep.BI
E2E Cloud
Exafunction
Groq
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Quantinuum
Founded
2021
Country
United States
Website
www.quantinuum.com/products-solutions/nexus
Vendor Details
Company Name
TensorFlow
Founded
2015
Country
United States
Website
www.tensorflow.org
Product Features
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization