Circles Fidelity Kernel | Turn lessons into working experiments

Starter code

module fidelity_kernel_map;
@dataset("circles_2d", split: "train");
fn main() {
  let q: QReg<2> = qreg[2];
  encode(sample_row(1), q, method: "iqp");
  let result = expect Z(q[0]) Z(q[1]);
  return result;
}

Expected output

circles_2d is selected

IQP encoding produces a finite state

The ZZ feature-map signal is reported

Kernel values remain in [0, 1]

Debugging checklist

Run the IQP map

Compare two dataset rows

Open the circles kernel preset

Inspect the symmetric Gram matrix

Compare against a classical baseline

Extension challenge

Change ridge regularization and explain its effect on the closed-form classifier.