10,000 circuit runs and 500 solver runs per month for development use.
Exact Quantum and Optimization Execution for Production Teams
Submit Standard Inputs. Get Exact Results.
Catalyst-Q is a breakthrough simulator API and Python SDK for QASM circuits, SDK circuit objects, and optimization model payloads. Build with the inputs your team already uses, then validate outputs with reproducible benchmark artifacts.
pip install catalyst-q
# Controlled hosted index:
pip install --index-url https://catalyst-q-sdk.strategic-innovations.ai/simple catalyst-qRun catalyst-q-benchmark --execute-api to capture latency_ms, status_code, and response_sha256.
SAT, TSP, Knapsack, Portfolio, QUBO, Max-Cut, and DAG Optimization (Maximum Weight Closure) builders.
Industry Inputs. Exact Outputs.
Catalyst-Q accepts OpenQASM and QASM payloads, SDK circuit objects, and standard optimization model payloads for SAT, TSP, Knapsack, Portfolio, QUBO, Max-Cut, DAG Optimization, VRP, and Unit Commitment workflows.
- QASM-ready: Submit circuit text from compilers, notebooks, and CI harnesses.
- SDK-native: Build circuits and optimization requests directly from Python.
- Benchmark-backed: Tie public claims to downloadable JSON, Markdown, and response hashes.
- Safety boundary: Toy Shor period demos stay at small classroom scale; credential-scale breaking runs are blocked for all tenants.
- Enterprise licensing: Private, offline, and local workflows require custom licensing.
- Usage is metered by circuit runs, solver runs, qubits, and compute units.
Public endpoints
- Manifest
- https://catalyst-q-sdk.strategic-innovations.ai/python/latest
- Docs
- https://catalyst-q-sdk.strategic-innovations.ai/docs
- Live API
- https://catalyst-q-sdk.strategic-innovations.ai/docs/live-api
- Evidence
- github.com/CrewRiz/catalyst-q-benchmarks
- Activation
POST /v1/installs/activate- Usage check
POST /v1/usage/check
Publication guardrail
Public docs describe product behavior, benchmark methodology, limits, and integration examples. They do not disclose implementation details. Benchmark claims are empirical and tied to reproducible artifacts, not broad complexity claims. Toy Shor period demos are permitted only under explicit small-scale ceilings; that boundary is not an upsell.