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QuantumUQ

QuantumUQ is a lightweight uncertainty quantification library for Quantum Machine Learning (QML) with first-class support for PennyLane and Qiskit.

  • Core idea: wrap your quantum models as predictors and apply generic UQ methods (shot bootstrap, deep ensembles, noise profiles).
  • Framework-agnostic core: all uncertainty methods operate on a simple predictor protocol.
  • Designed for research: small, explicit code; easy to inspect and extend.

See the Quickstart pages for PennyLane and Qiskit for end-to-end examples.