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Description

Quantum computing paves the way for the swift and cost-efficient creation of novel molecules and materials. InQuanto, an advanced platform for quantum computational chemistry, marks a significant advancement towards achieving this objective. The field of quantum chemistry seeks to precisely characterize and forecast the essential properties of matter, making it an invaluable asset for the innovation and formulation of new substances. Nonetheless, the intricacies of industrially relevant molecules and materials present challenges for accurate simulation. Current technologies necessitate a compromise, forcing users to choose between utilizing highly precise methods on minimal systems or resorting to approximations. InQuanto's adaptable workflow allows both computational chemists and quantum algorithm engineers to seamlessly integrate cutting-edge quantum algorithms with sophisticated subroutines and error mitigation techniques, optimizing performance on existing quantum platforms. This flexibility not only enhances research outcomes but also fosters collaboration among experts in the field, driving further innovation.

Description

Discover innovative and effective turn-key algorithms designed specifically for data scientists, alongside robust circuit components tailored for quantum engineers. These turn-key implementations cater to the needs of data scientists, financial analysts, and various engineers alike. Delve into challenges related to binary optimization, machine learning, linear algebra, and Monte Carlo sampling, whether on simulators or actual quantum hardware. No background in quantum computing is necessary to get started. Utilize NISQ data loader circuits to transform classical data into quantum states, thereby enhancing your algorithmic capabilities. Leverage our circuit components for linear algebra tasks, such as distance estimation and matrix multiplication. You can also customize your own algorithms using these building blocks. Experience a notable enhancement in performance when working with D-Wave hardware, along with the latest advancements in gate-based methodologies. Additionally, experiment with quantum data loaders and algorithms that promise significant speed improvements in areas like clustering, classification, and regression analysis. This is an exciting opportunity for anyone looking to bridge classical and quantum computing.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Azure Marketplace Yes 
NVIDIA DRIVE No 

Integrations

Amazon Web Services (AWS) Yes 
Azure Marketplace No 
NVIDIA DRIVE Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$2,500 per hour
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Quantinuum

Country

United States

Website

www.quantinuum.com/computationalchemistry/inquanto

Vendor Details

Company Name

QC Ware

Founded

2014

Country

United States

Website

forge.qcware.com

Product Features

Chemical

Certificates of Analysis No 
Chemical Process Simulation No 
Computer-Assisted Structure Elucidation (CASE) No 
ISO Management No 
Inventory Management No 
Particle Tracking No 
Reporting & Statistics No 
Samples Tracking No 
Traceability No 
Uncertainty Analysis No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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