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What is LIQUi|>?

LIQUi|> is a robust software architecture and toolkit tailored for quantum computing endeavors. It encompasses a specialized programming language, optimization and scheduling algorithms, as well as capabilities for quantum simulation. This platform allows for the transformation of high-level quantum algorithms into the machine-level instructions required by quantum hardware. The initiative behind LIQUi|> is driven by the Quantum Architectures and Computation Group (QuArC) at Microsoft Research, which has designed this sophisticated software suite to enhance the understanding and exploration of diverse quantum protocols, algorithms, error correction techniques, and hardware. In addition, LIQUi|> offers features for simulating Hamiltonians, quantum circuits, stabilizer circuits, and noise models, while supporting operations that are client-based, service-oriented, and cloud-enabled. As a result, LIQUi|> stands out as a vital resource, empowering both researchers and developers to delve deeper into the innovative field of quantum computing. This toolkit not only simplifies the complexities of quantum programming but also accelerates the development of new quantum technologies.

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

.NET
Azure Marketplace

Integrations Supported

.NET
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/research/project/language-integrated-quantum-operations-liqui/

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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