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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 Neuri?

We are engaged in cutting-edge research focused on artificial intelligence to gain significant advantages in the realm of financial investments, utilizing innovative neuro-prediction techniques to illuminate market dynamics. Our methodology incorporates sophisticated deep reinforcement learning algorithms and graph-based learning methodologies, along with artificial neural networks, to adeptly model and predict time series data. At Neuri, we prioritize the creation of synthetic datasets that authentically represent global financial markets, which we then analyze through complex simulations of trading behaviors. We hold a positive outlook on the potential of quantum optimization to elevate our simulations beyond what classical supercomputing can achieve, further enhancing our research capabilities. Recognizing the ever-changing nature of financial markets, we design AI algorithms that are capable of real-time adaptation and learning, enabling us to uncover intricate relationships between numerous financial assets, classes, and markets. The convergence of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading is still largely unexplored, presenting an exciting frontier for future research and innovation. By challenging the limits of existing methodologies, we aspire to transform the formulation and execution of trading strategies in this dynamic environment, paving the way for unprecedented advancements in the field. As we continue to explore these avenues, we remain committed to advancing the intersection of technology and finance.

Media

Media

Integrations Supported

EquityZen
JupyterHub
Quantxt Theia

Integrations Supported

EquityZen
JupyterHub
Quantxt Theia

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Neuri

Date Founded

2018

Company Location

Singapore

Company Website

www.neuri.ai/

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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