Rapid Quantum Prototyping (RQP) Suite

Workbook in, certified report out.

Rapid Quantum Prototypes (RQPs) let a bank, insurer or asset manager measure what today's quantum algorithms deliver on its own problems. Your team loads its data as an Excel workbook. The RQP runs the quantum method and an exact classical referee on the identical problem and returns a verdict-first report: advantage demonstrated, parity, or no advantage demonstrated. If classical wins, the report says so.

Seven prototypes are ready to use:

- Portfolio optimization

- Index replication

- Credit allocation

- Collateral allocation

- Feature selection

- Classification (fraud detection, credit scoring)

- Derivatives pricing

Selection problems run on QAOA, classification on quantum kernels and variational classifiers, pricing on quantum amplitude estimation. The referee is an exact solver with a certified optimality gap or, for classification, tuned classical baselines on identical data.

Every run can be exported as code: notebooks for Qiskit, PennyLane, Google Cirq, NVIDIA CUDA-Q and Classiq Qmod, plus OpenQASM 2.0 circuits, so the trained circuit can be rerun in your own environment.

No quantum expertise is needed on your side. Synthetic or anonymised data is enough for a first pass. Runs take hours, a full use case a few weeks, at a fixed fee agreed up front. Runs on Swiss infrastructure in Zurich; IBM quantum hardware on request.

Sample reports, workbooks and six method studies are public at qubit-lab.ch/evidence. Product pages: qubit-lab.ch/rqp