Entropy as a Service

Light Rider EaaS provides quantum-derived entropy for secure communications, cryptographic workflows, AI training data, and randomness-dependent applications.

Use validated quantum entropy to strengthen keys, improve randomness, support post-quantum security, and generate diverse synthetic data for AI systems.

QPU-first

Quantum computers as the primary entropy engine, not just QRNG chips

1025 years

Time a supercomputer would need to reproduce Google Willow's RCS output

No rebuild

Integrates via API, SDK, or Quantum Light devices into existing infrastructure

Your encryption is only
as strong as your randomness.

Entropy is the measure of randomness in a system. In cybersecurity, it's the unpredictability behind every cryptographic key, token, nonce, and secure session. The higher the entropy, the harder it is for an attacker to predict the values protecting your system.

Traditional computers are deterministic. They can't create true randomness from software alone. They rely on external sources of physical uncertainty. When that source is weak or exhausted, cryptography fails: weak keys, predictable tokens, repeated nonces, compromised sessions.

What is an entropy source?

A physical, hardware, or computational process that produces uncertainty that can be measured and converted into random data. Quantum processes are among the strongest entropy sources because their outcomes cannot be predicted even in principle.

Types of entropy sources

AI & synthetic data

Randomness from quantum measurement outcomes

Photon behavior

Quantum optical effects from photon interactions

Particle events

Radioactive decay and probabilistic particle timing

Hardware QRNG

QRNG chips, TPMs, secure elements (e.g. IDQ Quantis)

Thermal noise

Shot noise, avalanche noise, electronic noise

Oscillator jitter

Clock drift, timing variation, electronic jitter

Randomness beacon

Broadcast entropy from trusted public beacon services

Hybrid entropy pools

Multiple sources mixed for stronger randomness

Quantum computers as

the primary entropy engine.

Most entropy services rely on QRNG chips, hardware noise, or software-accessible randomness pools.

Light Rider goes further, using quantum processing units (QPUs) as premium entropy engines, where quantum circuits are prepared, evolved, and measured to produce outcomes rooted in the uncertainty of quantum mechanics.

The Willow benchmark context

Google's Willow 105-qubit processor completed a random circuit sampling computation in under five minutes that would take a classical supercomputer an estimated 10²⁵ years under the assumptions used for its benchmark. This illustrates why quantum circuit measurement produces randomness that classical systems cannot straightforwardly reproduce, and why Light Rider uses QPUs as premium entropy engines.

Source to application

Validated quantum randomness

Collect

QPU + QRNG

Validate

Quality checks

Condition

Pool + format

Deliver

API / SDK

Powering security and AI

from the same quantum foundation

EaaS serves organizations that need stronger entropy across two critical domains: cryptographic security workflows and synthetic data generation.

Security and cryptography

EaaS strengthens the randomness layer behind encryption, authentication, and secure communications. It doesn't generate client keys directly, it provides fresh entropy that approved client systems use to generate their own stronger keys, tokens, and secure material.

Cryptographic key generation
Session key refresh
Post-quantum cryptography support
D-QKD key material workflows
Nonce & token generation
Secure boot support
IoT & embedded device security
Zero trust & identity workflows

Synthetic data for AI

AI systems need diverse, realistic data. Many organizations have valuable data locked behind privacy, compliance, or availability constraints. EaaS provides quantum-derived entropy to seed synthetic data pipelines that generate structured, configurable datasets without exposing real production data.

Synthetic customer records
Synthetic financial & healthcare data
Synthetic device & network telemetry
Synthetic cybersecurity logs
Diverse AI training examples
Reproducible training seeds
Privacy-preserving AI development
Simulation & model stress testing

Two ways to access EaaS

Request microservice access today, or integrate via the Light Rider Cloud Platform when it goes live.

API service access

Available now. Request access to the EaaS microservice and integrate quantum entropy directly into your application, security workflow, or AI pipeline via our API or SDK.

REST API with structured delivery
SDK integration for common environments
Entropy quality monitoring included
Pilots and demonstrations available
Compatible with existing IP infrastructure
Request API access

Light Rider quantum cloud platform

When the Light Rider platform launches, EaaS will be available as an integrated service accessible directly from the platform alongside other quantum capabilities.

Platform-native entropy delivery
Unified with Quantum Light products
D-QKD workflow integration
AI and synthetic data tooling
Enterprise and government configurations
Coming Soon

Bring quantum entropy into your applications

Light Rider EaaS delivers quantum-derived entropy for cryptography, post-quantum security, D-QKD, synthetic data generation, AI training, and secure application development.