Quantum ML Dashboard

🎛️ Training Configuration

Advanced

Dataset

Qubits

Layers

Learning Rate

Duration (min)

Batch Size

Advanced Settings

Optimizer

Early Stopping Patience

Checkpoint Every (epochs)

Warmup Epochs

Max Grad Norm

Use Parameter-Shift Use LR Warmup Use LR Decay Gradient Clipping

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Circuit visualization updates during training

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Ready to train. Configure your model and click "Start Training".

Training Loss Validation Acc

Iris — 4 qubits, 2 layers

200 epochs · 4m 32s · Adam

94.7%

Moons — 3 qubits, 3 layers

150 epochs · 3m 18s · Momentum

91.2%

Wine — 6 qubits, 2 layers

300 epochs · 8m 45s · Adam

87.3%

Circles — 2 qubits, 4 layers

100 epochs · 1m 56s · SGD

82.1%