Interfaces for driving the quantum OS
REST API
Use HTTPS and JSON from any backend, portal, workflow system or enterprise application.
Python SDK
Use QCOS from notebooks, services, pipelines and scientific Python workflows.
CLI
Run jobs, inspect backends and automate operational tasks from the terminal.
MCP
Expose QCOS as callable tools to AI agents and MCP-compatible clients.
Product boundary
QCOS handles execution, routing, result retrieval, cost estimation and evidence. QuantumLock handles license activation, entitlement validation and protected commercial distribution.Common use cases
- Run QASM circuits on CPU simulators before moving to QPU hardware.
- Route approved jobs to IBM Quantum, AWS Braket, Azure Quantum, IonQ or private provider adapters.
- Build hybrid pipelines for genomics, finance, optimization, chemistry and cryptography.
- Estimate credits before execution and enforce budgets.
- Generate audit evidence for jobs, devices, calibration and execution reports.
- Let an LLM agent inspect backends, estimate cost and submit dry-run jobs through MCP.