Build quantum circuits with checked values and gradients.
Builds and validates differentiable quantum circuits, hybrid learning models, and molecular or combinatorial optimization workflows.
When to use it
Use for variational quantum algorithms, quantum machine learning, simulator validation, and transferring validated circuits to provider plugins.
Give it a quantum circuit, learning, or optimization task; it builds code and checks circuit values, gradients, and optimization results.
Requires Python 3.11 or newer.
Requires PennyLane 0.45.1.
This skill
https://arxiv.org/abs/2609.00065
Fetches the citation's current record
pennylane
Installs PennyLane in a dedicated environment