Build quantum ML models with PennyLane
pennylaneskillsetup L3★27,559
K-Dense-AI/scientific-agent-skills ↗What it does
Build and simulate quantum circuits with trainable parameters
Best for
Hybrid quantum-classical machine learning with automatic differentiation
Inputs
- · quantum circuit definition
- · measurement operators
Outputs
- · measurement probabilities
- · gradient tapes
- · trained circuit parameters
Requires
- · PennyLane
- · TensorFlow/PyTorch
- · Qiskit/Cirq backends
Preconditions
Quantum simulator or hardware access available
Failure modes
Device not available; circuit too deep for simulator; gradient divergence