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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 QX Simulator?

Building large-scale physical quantum computers is a challenging endeavor, and alongside the pursuit of creating such machines, significant focus is also placed on developing efficient quantum algorithms. In the absence of fully functioning large quantum computers, it becomes crucial to employ accurate software simulations on traditional systems to emulate the performance of these quantum algorithms, enabling researchers to study and improve quantum computer functionalities. The QX simulator, for example, not only allows for the simulation of ideal, error-free quantum circuits as if on a perfect quantum computer, but it also provides the ability to model realistic scenarios with inherent noise by integrating various error models, including depolarizing noise. Users can select specific error models and assign a physical error probability to closely reflect a particular target quantum computer's performance. This specified error rate can be influenced by elements such as gate fidelity and the decoherence properties of the qubits associated with the desired platform, ultimately contributing to a more accurate evaluation of potential quantum computation capabilities. Consequently, these simulations serve not only as a guide for the development of future quantum computers but also deepen our comprehension of the intricate challenges present in quantum processing, paving the way for advancements in this exciting field. Moreover, as researchers continue to refine these simulation techniques, the insights gained may lead to breakthroughs that accelerate the practical realization of quantum computing technologies.

Media

Media

Integrations Supported

JupyterHub
Quantxt Theia

Integrations Supported

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

Quantum Computing Simulation

Company Website

quantum-studio.net

Categories and Features

Categories and Features

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