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🧠 Variational Quantum Classifier: 2D Decision Map

Quantum AI: Variational Quantum Classifier (2D)

Quantum Computing2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version

Details

CategoryQuantum Computing

RenderingCanvas 2D

DifficultyAdvanced

Target FPS60

ControlsDataset presets (circle, XOR, moons, spiral, linear), sliders for layers, learning rate, batch size, steps per frame, depolarising noise and shots; drag points to move them, click empty space to add a class A or B point, click a point to flip or delete it; pause, step and re-initialise controls.

quantum machine learningvariational circuitparameter-shift ruleBloch sphereclassification

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⚙ Under the hood

Interactive 2D decision map of a single-qubit data re-uploading classifier trained with Adam and the parameter-shift rule, shown next to a linear baseline. Drag, add, flip or delete data points and watch the P(class A) map and Bloch-sphere trajectory change as the circuit learns.

quantum machine learningvariational circuitparameter-shift ruleBloch sphereclassification

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install