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Description

Leverage cutting-edge cloud technology and educational materials to create and enhance quantum algorithms effectively. You will have the opportunity to access a wide range of current quantum hardware as you work towards achieving fault-tolerant quantum systems. Tackle complex challenges and expand your skill set using exceptional onboarding and educational resources such as Microsoft Learn, Quantum katas tutorials, real-world industry case studies, and university-level courses. Utilize the Azure Quantum resource estimator tool to assess the required number of logical and physical qubits, as well as the runtime necessary for executing quantum applications on advanced quantum computers in the future. Identify the specific qubit count essential for your quantum solutions and analyze the variances among different qubit technologies. Additionally, prepare and optimize quantum solutions for deployment on next-generation quantum systems, ensuring they are ready for the demands of future innovations in quantum computing. By utilizing these resources, you can contribute to the advancement of quantum technologies.

Description

The development of large-scale physical quantum computers is proving to be a formidable task, and in parallel with efforts to create these machines, considerable attention is being directed towards crafting effective quantum algorithms. Without a fully realized large quantum computer, it becomes essential to utilize precise software simulations on classical systems to replicate the execution of these quantum algorithms, allowing researchers to analyze quantum computer behavior and refine their designs. In addition to simulating ideal, error-free quantum circuits on a faultless quantum computer, the QX simulator offers the capability to model realistic noisy executions by incorporating various error models, such as depolarizing noise. Users have the option to activate specific error models and set a physical error probability tailored to mimic a particular target quantum computer. This defined error rate can be based on factors like gate fidelity and qubit decoherence characteristics of the intended platform, ultimately aiding in the realistic assessment of quantum computation capabilities. Thus, these simulations not only inform the design of future quantum computers but also enhance our understanding of the complexities involved in quantum processing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Microsoft Azure

Integrations

Azure Marketplace
Microsoft Azure

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/quantum

Vendor Details

Company Name

Quantum Computing Simulation

Website

quantum-studio.net

Product Features

Product Features

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