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Description

Developers and businesses have the opportunity to create Quantum-resistant smart contracts, decentralized applications (DApps), DeFi solutions, NFTs, tokens, and Metaverse projects using the QAN blockchain platform in any programming language they prefer. QANplatform stands out as the first Hyperpolyglot Smart Contract platform, allowing developers to write in various programming languages while also earning rewards for producing high-quality, reusable code. The threat posed by quantum computing is significant, and current blockchain technologies are unable to provide adequate protection against it. In contrast, QAN has been designed from the ground up to be resilient to these threats, ensuring the safety of your future assets. Quantum-resistant algorithms, which are referred to as post-quantum, quantum-secure, or quantum-safe, are cryptographic methods specifically formulated to counteract potential attacks from quantum computers. Embracing these advanced algorithms is essential for securing digital assets in an evolving technological landscape.

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) Yes 
Akamai Cloud Yes 
Alibaba Cloud Yes 
Band Protocol Yes 
Chainlink Yes 
DigitalOcean Yes 
Docker Yes 
Ethereum Yes 
Google Cloud Platform Yes 
IBM Cloud Yes 
KVM Yes 
Kubernetes Yes 
Microsoft Azure Yes 
Microsoft Hyper-V Yes 
NVIDIA DRIVE No 
Oracle Cloud CX Yes 
SAP Cloud Platform Yes 
VMware Cloud Yes 
VirtualBox Yes 

Integrations

Amazon Web Services (AWS) Yes 
Akamai Cloud No 
Alibaba Cloud No 
Band Protocol No 
Chainlink No 
DigitalOcean No 
Docker No 
Ethereum No 
Google Cloud Platform No 
IBM Cloud No 
KVM No 
Kubernetes No 
Microsoft Azure No 
Microsoft Hyper-V No 
NVIDIA DRIVE Yes 
Oracle Cloud CX No 
SAP Cloud Platform No 
VMware Cloud No 
VirtualBox No 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

QANplatform

Website

www.qanplatform.com

Vendor Details

Company Name

QC Ware

Founded

2014

Country

United States

Website

forge.qcware.com

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 

Alternatives

Alternatives

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