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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.

What is Classiq?

Classiq serves as a cutting-edge platform for quantum computing software, facilitating the design, refinement, evaluation, and execution of quantum algorithms. It adeptly transforms high-level functional models into optimized quantum circuits, allowing users to quickly construct circuits with a variety of qubit counts, including 100, 1,000, or even 10,000, which can seamlessly operate on any gate-based architecture or cloud service. The platform offers a holistic environment for developing quantum applications, nurturing in-house knowledge and enabling the creation of reusable quantum intellectual property. By automating the complex process of converting high-level functional models into optimized quantum circuits, Classiq's Quantum Algorithm Design platform simplifies the design and coding process at a more abstract level. This empowers users to focus on the conceptual elements of their algorithms, as the system takes care of the technical execution, delivering circuits that meet both functional requirements and system constraints. This pioneering methodology not only boosts productivity but also encourages more innovative approaches in quantum algorithm development, leading to breakthroughs that could redefine the field. As a result, Classiq plays a crucial role in advancing quantum computing capabilities for various applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Quantum Computing Simulation

Company Website

quantum-studio.net

Company Facts

Organization Name

Classiq

Date Founded

2020

Company Location

Israel

Company Website

www.classiq.io

Categories and Features

Categories and Features

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