QCOS QuantumOS by Softquantus
기존의 양자 개발 도구 키트는 양자 프로세서(QPU)를 독립된 장치로 취급하지만, Softquantus의 QCOS는 CPU, GPU, QPU를 하나의 통합 아키텍처로 결합합니다. 연구용 병렬 컴퓨팅 생태계를 확장하여 개발자가 클래식 슈퍼컴퓨터와 양자 하드웨어 간에 워크로드를 원활하게 분할하는 소프트웨어를 구축할 수 있게 합니다.
문서
What the QCOS quantum operating system does
QCOS is the SoftQuantus operating system for quantum computers: a vendor-neutral runtime for quantum, GPU and hybrid workloads. Use it to submit circuits, route jobs to simulators or QPUs, estimate costs, retrieve evidence and expose quantum capabilities to applications and LLM agents.
Quantum OS user manual
The complete end-user manual for the quantum operating system — no quantum background assumed.
Quantum computing use cases
QAOA portfolio optimisation, Grover DNA search, Shor RSA assessment and VQE chemistry.
Platform guide
The platform.softquantus.com console: workspaces, roles, API keys, credits and billing.
Which API key do I need?
A single map of every credential across QCOS, the Platform and QuantumLock.
Compute services
One Execution Plane for quantum simulators, real QPUs, and per-minute GPU/CPU compute — prepaid, budgeted, evidence-sealed.
QCOS & QuantumLock on your compute
Hosted runtime, free local simulation, hybrid containers on purchased GPUs, and the licensed on-prem paths.
Interfaces for running quantum circuits
QCOS quick start
Run a Bell-state circuit through the API, SDK, CLI or MCP in a few minutes.
REST API
Integrate QCOS from any application using HTTPS, API keys and JSON.
Python SDK
Build applications, notebooks and pipelines with softqcos-sdk.
CLI
Operate QCOS from local terminals, CI/CD and automation scripts.
MCP Server
Let MCP-compatible AI agents call QCOS through typed tools.
QuantumLock
Licensing, key governance and cryptographic evidence for the stack.
How to run a quantum circuit on QCOS
What QCOS sends to quantum backends
Large datasets, images and genomics files stay in the classical data layer. QCOS sends compact quantum workload artifacts to providers: circuits, parameters, Hamiltonians, QUBO/Ising models, observables and shot counts.
| Layer | Typical data | QCOS role |
|---|---|---|
| Data lake | Parquet, CSV, images, VCF/FASTA, embeddings | Read features and metadata |
| Classical preprocessing | Feature vectors, kernels, optimization models | Build quantum-ready inputs |
| Quantum execution | QASM, circuits, QUBO, Hamiltonians | Route to simulator/QPU |
| Post-processing | Counts, expectation values, evidence | Return API/SDK/CLI/MCP results |