v1.0

Quantum Entropy as a Service

Developer quickstart

Set up your environment and make your first API request in minutes

1import os
2from dotenv import load_dotenv
3token = os.environ.get("ACCESS_TOKEN")
4size = #required-size-for-your-application
5url = f'https://api-qxeaas.quantumemotion.com/entropy'
6# Define and submit the request
7headers = { 'Authorization': f'Bearer {token}'}
8querystring = { 'size': size }
9response = requests.get( url, headers=headers, params=querystring)
10response = response.json()
11print('response =>', response)

Enhanced cryptographic security

ECDSA

Strengthening the implementation of ECDSA with QxEAAS

Asymmetric Cryptography

Digital Signatures

Entropy bytes used: 1 KiB

RSA

Enhancing the implementation of RSA with QxEAAS

Asymmetric Cryptography

Digital Signatures

Entropy bytes used: 32 KiB

Kyber

Securing Kyber with QxEAAS

Asymmetric Cryptography

Post-Quantum Security

Entropy bytes used: 1 KiB

Dilithium

Fortifying the Dilithium Algorithm with QxEAAS

Asymmetric Cryptography

Post-Quantum Security

Entropy bytes used: 1 KiB

Use cases

Cryptography

Discover how to generate an API key

Random Sampling for Data Analysis

Truly random data selection and sampling

Randomized Algorithms for Simulations

Accurate and unpredictable simulation outcomes

Web3

Secure decentralized systems with quantum entropy

Online Gaming and Gambling

Fair and secure random number generation

AI / ML

True Quantum Randomness in Artificial Intelligence

Explore our tutorials

Data Sampling

Use true random for data sampling with QxEAAS

Random Simulations

Implement of Monte-Carlo simulation with QxEAAS

Blockchain Security

Secure a smart contract with QxEAAS

ECDSA

Step-by-step implementation of ECDSA with QxEAAS

RSA

Step-by-step implementation of RSA with QxEAAS

Kyber

Step-by-step implementation of Kyber with QxEAAS

Dilithium

Step-by-step implementation of Dilithium with QxEAAS

AI / ML

Integrating quantum randomness into AI models