Quantum computing.
Run quantum circuits on real QPUs and high-performance simulators through one API, with hybrid quantum-classical workflows.
Access gate-based and annealing QPUs and high-performance simulators through a single API, and orchestrate hybrid quantum-classical workflows next to your GPU compute and the model — for chemistry, optimization and research without a quantum-ops team.
- Category
- AI & ML
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Program at the gate or pulse level, or call a higher-level algorithm.
Target a real QPU or a high-performance simulator through one API.
Orchestrate quantum steps with classical compute and the model.
Quantum computing, in full.
Gate-based and annealing hardware from several providers, one interface.
State-vector and tensor-network simulators for development at scale.
Quantum steps orchestrated with classical compute and the model.
Program at the circuit or the pulse level.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
import { aether } from "@aether/sdk";
// Quantum computing on Aether Cloud
const res = await aether.ai.quantum_computing({
model: "aether-40b",
input,
stream: true,
});
for await (const token of res) process.stdout.write(token);At a glance.
- Hardware
- Gate + annealing QPUs
- Simulators
- State-vector · tensor-network
- Programming
- Gate + pulse level
- Hybrid
- Quantum + classical + model
- Access
- One API, several providers
Built for real work.
Chemistry & materials
Optimization
Quantum research
On one model, not stitched together.
The usual stack runs quantum computing in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — quantum computing sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your quantum computing — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
One API to multiple QPUs and simulators — with hybrid workflows orchestrated next to your GPU compute and the simulation-native model.
Yes — high-performance simulators let you build and test before running on a real QPU.
Chemistry and materials, combinatorial optimization, and quantum research.
Your boundary, your choice.
Pairs well with.
The simulation-native foundation model itself, served as an API — the core every other service builds on.
Low-latency, streaming inference for every model size, with pinned versions and structured output.
Pre-wired multi-node GPU clusters with scheduling, checkpointing and fault tolerance.
Customer-controlled fine-tuning and adapters on data that never leaves your boundary, with eval gates.
Managed notebooks wired to the data platform and GPU compute for exploration and analysis.
Model and prompt registry, evals, deployment and drift monitoring — versioned and auditable.
Run Quantum computing on Aether Cloud.
Run quantum circuits on real QPUs and high-performance simulators through one API, with hybrid quantum-classical workflows. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.