Use SVD-based fidelity for density matrices and add numerical stability test

[RevanthGundala]

Summary

Fixes #4819

This PR replaces the existing eigen‑decomposition formula for two density matrices

state1_sqrt = _sqrt_positive_semidefinite_matrix(state1)
eigs = eigvalsh(state1_sqrt @ state2 @ state1_sqrt)
trace = sum(sqrt(abs(eigs)))
fidelity = trace**2

with an equivalent but more accurate form

rho1_sqrt = scipy.linalg.sqrtm(rho1)
rho2_sqrt = scipy.linalg.sqrtm(rho2)
fidelity = np.sum(scipy.linalg.svdvals(rho1_sqrt @ rho2_sqrt)) ** 2

This ensures fidelity never exceeds 1 due to round‑off error in higher dimensions.

What’s Changed

In cirq/qis/measures.py, the density‑matrix branch of _fidelity_state_vectors_or_density_matrices now uses sqrtm + svdvals.
A new unit test test_fidelity_numerical_stability_high_dim in measures_test.py constructs a 10‑qubit pure state, traces out one qubit, and verifies that the old eigen‑value‑based fidelity exceeds 1, and the new SVD‑based fidelity ≈ 1.

Testing

Ran pytest cirq-core/cirq/qis/measures_test.py::test_fidelity_numerical_stability_high_dim — old formula fails (>1), new passes (≈1).

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 98.67%. Comparing base (5112418) to head (b791895).
Report is 10 commits behind head on main.

Additional details and impacted files

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##             main    #7292   +/-   ##
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  Coverage   98.66%   98.67%           
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  Files        1106     1106           
  Lines       96086    96103   +17     
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+ Hits        94808    94825   +17     
  Misses       1278     1278           

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