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What is Quantum Inspire?

Dive into the fascinating world of quantum computing by running your own quantum algorithms through our diverse range of simulators and hardware platforms, unlocking the immense possibilities this progressive technology offers. Please note that the Spin-2 platform is currently undergoing enhancements and is temporarily out of service. We provide a collection of simulators and genuine hardware chips for your experimentation. Quantum Inspire is developed with exceptional engineering practices, evolving from experimental setups to a coherent modular architecture that results in a robust and reliable hardware solution. This quantum system consists of multiple layers, which include quantum chip hardware, classical control electronics, a quantum compiler, and a software interface that is readily accessible via the cloud. By conducting in-depth examinations of these distinct layers and their complex interrelationships, it becomes possible to uncover gaps and identify critical improvements necessary in the innovation pipeline and supply chain, thereby propelling technological advancement. Engaging with our platform allows you to be an active participant in the cutting-edge developments of quantum technology and contribute to its future evolution.

What is InQuanto?

Quantum computing enables the rapid and economical development of new molecules and materials, revolutionizing the way we approach these challenges. InQuanto, a state-of-the-art platform for quantum computational chemistry, represents a significant leap forward in this endeavor. The discipline of quantum chemistry aims to accurately define and predict the fundamental characteristics of different materials, proving essential for the creation and design of innovative substances. However, the complexity of molecules and materials relevant to industry introduces hurdles that complicate precise simulation efforts. Existing technologies often force a trade-off, requiring users to select between employing highly accurate techniques on small systems or accepting less precise approximations. With its flexible workflow, InQuanto allows both computational chemists and quantum algorithm developers to effectively combine advanced quantum algorithms with intricate subroutines and error correction methods, thereby optimizing results on current quantum hardware. This adaptability not only improves research findings but also cultivates collaboration among specialists in the field, thereby propelling further advancements in quantum chemistry and material science. The ongoing exchange of ideas and methodologies within this community is vital for overcoming the existing limitations and unlocking the full potential of quantum computing in material innovation.

Media

Media

Integrations Supported

Azure Marketplace

Integrations Supported

Azure Marketplace

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

QuTech

Date Founded

2014

Company Location

Netherlands

Company Website

www.quantum-inspire.com

Company Facts

Organization Name

Quantinuum

Company Location

United States

Company Website

www.quantinuum.com/computationalchemistry/inquanto

Categories and Features

Categories and Features

Chemical

Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis

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