Engineering
discovery
at qubit scale.
Ansatz maps the design space of qubit sensing systems using physics-informed surrogate models — so you spend fewer cycles on the bench and more time understanding why something works.
Designed for precision measurement teams
Integral design
Physics-informed, not curve-fit
Sensitivity first
Know what matters before you build
Uncertainty-aware
Every prediction ships with confidence bounds
Tensor-native
Designed for multi-qubit coupling from day one
The method
Structured discovery,
not guesswork.
Every step in the Ansatz workflow is designed to generate trustworthy, reproducible insight — not just a faster path to a number you can't explain.
Define your sensing objective
Specify qubit type, target frequency, coupling topology, and the performance metric you care about — sensitivity, coherence time, or noise floor.
Run the surrogate sweep
Ansatz trains a physics-informed surrogate model on your design space, sampling intelligently to cover the parameter manifold without exhaustive simulation.
Inspect the landscape
Visualize sensitivity maps, identify promising operating points, and understand which parameters dominate performance — before committing to fabrication.
Validate against experiment
Upload measurement data from your lab. Ansatz compares predictions to reality and refines the model — closing the loop between simulation and bench.
Capabilities
Built for the real
complexity of qubits.
Qubit sensing design involves dozens of coupled parameters across material, geometry, and control. Ansatz is built for that complexity from the start.
Surrogate modeling
Physics-informed Gaussian process surrogates trained on sparse simulation data — accurate interpolation across the full design manifold.
Gradient-based sensitivity
Automatic sensitivity analysis reveals which parameters drive performance, so you focus fabrication effort where it counts.
Multi-objective Pareto fronts
Jointly optimize sensitivity and coherence. Ansatz surfaces the trade-off frontier so you choose your operating point consciously.
Structured parameter sweeps
Intelligent Latin hypercube and Sobol sampling covers the space efficiently — fewer runs, more coverage, reproducible results.
Coupling-aware layout tools
Model qubit–qubit coupling, cross-talk, and substrate modes as first-class design variables, not afterthoughts.
Experiment-in-the-loop
Upload lab measurements. The model refines itself against reality, narrowing prediction uncertainty as your data accumulates.
Validation
Claims backed by
measurement.
We don't publish benchmarks we can't reproduce. These numbers come from internal validation on superconducting transmon and flux qubit designs.
* Results on internal benchmark datasets. Performance varies by design complexity and parameter dimensionality.
Early access
Start with the qubit
sensing toolkit.
Ansatz is in active development. The qubit sensing design module is available now for research teams. We're expanding deliberately — building the right tools for the right problems.
No credit card required for research teams