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Marginal probability uses amplitude magnitude not its square · case 05

An unequal superposition such as 0.6|0> + 0.8i|1> is reported as 3/7 and 4/7 instead of 0.36 and 0.64.

Member previewVariant 5 · 3 implementations · 7 checks per implementation

Case contract

Input [n, amps, qubits]; amps are 2**n [re, im] pairs (qubit 0 = LSB), possibly unnormalized. Return the marginal outcome distribution over the listed qubits as {bitstring: probability} where the first listed qubit is the rightmost character, probabilities are normalized by the total squared norm, rounded to 6 decimals after summation, and zero entries are omitted. Errors: "bad-length", "duplicate-qubit", "bad-qubit", "zero-state" (total squared norm <= 1e-12).

Why this case matters

Marginal readout distributions are what users compare against hardware counts; ordering or normalization slips mislabel every histogram.

One recorded failure

Sample boundary fixture

This sample comes from the broken implementation of a controlled reproducer.

Boundary fixtureActualExpectedOutcome
regression: random state 9{"0": 3.276928}{"0": 1.0}Failed

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