SoftQuantus builds software for developing and testing quantum algorithms. QCOS runs circuits on a CPU state-vector simulator, so developers can validate an algorithm before they target hardware.
New Tools That Simplify Quantum Development
The QCOS Development Kit is a developer toolkit for building quantum applications. It provides a simulator and a Python SDK for developers to build and execute quantum code locally.
The QCOS SDK is a Python package (softqcos-sdk) that installs and runs on a laptop, together with a local CPU state-vector simulator.
Autopilot Optimization
Closed-loop parameter optimisation on the CPU state-vector simulator. Its earlier GHZ-6 benchmark was withdrawn in August 2026, so no speed-up figure is claimed.
Hardware-Agnostic Circuits
Write a circuit once and run it on the local CPU state-vector simulator (up to 24 qubits). Hardware backends are not generally available.
QuantumLock Security
ML-DSA signatures on licence tokens (via liboqs, not CAVP-validated) and offline licence verification.
Reproducible Benchmarking
QCOS Bench records fidelity and evaluation counts for the benchmark runs you submit, with evidence bundles sealed under a SHA-256 Merkle root.
QCOS Platform Architecture
QCOS ships an optimiser (Autopilot) and circuit tooling. Domain libraries are not yet released.
QCOS Core
Platform Modules
Applications
Hardware Abstraction Layer
Diagram of the QCOS Platform showing Core Framework, Platform Modules, Applications, and Hardware Abstraction Layer
Programming with the Python SDK
The QCOS SDK installs from PyPI (softqcos-sdk). The example below submits an OpenQASM circuit and waits for the result.
from softqcos_sdk import QCOSClient
# Credentials come from api_key= or the QCOS_API_KEY environment variable
client = QCOSClient(api_key="your-api-key")
# Submit an OpenQASM circuit and wait for the result
job = client.jobs.submit(qasm="OPENQASM 2.0; ...", shots=1024)
result = client.jobs.wait(job["job_id"])
print(result["result"]["counts"])Example: submitting a circuit with the Python SDK
Developer Tools & SDK
softqcos-sdk
Python SDKTyped, synchronous Python client for the QCOS API: submit circuits, wait for results and read evidence.
softqcos
CLI ToolCommand-line interface for QCOS: log in, check connectivity and run optimisation and benchmark commands.
QCOS for Scientific Applications
Scientific problems have to be simplified to fit within hardware constraints. QCOS provides circuit tooling and the Autopilot optimiser to prepare and test them on a CPU state-vector simulator.
QCOS is Part of Our Highly Adaptable Platform
The QCOS platform brings together a circuit compiler, the Autopilot optimiser and sealed benchmark evidence in one Python SDK.
CPU state-vector simulator
Up to 24 qubits
Supported in SDKToday the backend proven for execution is the CPU state-vector simulator (up to 24 qubits).