Tatopenn's picture
Sync mirror with GitHub main (v8.1.62): subpackage refactor, mitigation promotions, MCP server refactor
2a87ede verified
Raw History Blame Contribute Delete
2.13 kB
"""Mitigation subpackage: Zero-Noise Extrapolation (zne) and the
predictive-healing primitives (healing) it composes, plus density-matrix
diagnostics validated in Dense-Evolution-Discovery: the sandwiched
quantum Renyi divergence (renyi), magic entropy (magic_entropy), and a
classical-shadows-based estimator for magic entropy from measurement
snapshots (magic_entropy_shadows)."""
from .zne import (
richardson_extrapolate, zero_noise_extrapolation, polynomial_extrapolate,
project_to_physical, uhlmann_fidelity, zne_density_matrix,
jsd_predictive_zne_density_matrix,
richardson_extrapolate_jit, zero_noise_extrapolation_jit,
polynomial_extrapolate_jit, uhlmann_fidelity_jit, zne_density_matrix_jit,
)
from .healing import (
calculate_advanced_sigma, calculate_phi_ab, calculate_vettore_dinamico,
calculate_vettore_statico, calculate_delta_preemp, evaluate_phi_trigger,
calculate_jax_reflection, MemoryReflectionEngine, GLOBAL_CONSTANTS,
)
from .renyi import sandwiched_renyi_divergence, sandwiched_renyi_divergence_jit
from .magic_entropy import magic_entropy, magic_entropy_jit
from .magic_entropy_shadows import (
sample_classical_shadow, magic_entropy_from_shadows,
approx_shadow_std, fit_shadow_sample_complexity,
)
__all__ = [
"richardson_extrapolate", "zero_noise_extrapolation", "polynomial_extrapolate",
"project_to_physical", "uhlmann_fidelity", "zne_density_matrix",
"jsd_predictive_zne_density_matrix",
"richardson_extrapolate_jit", "zero_noise_extrapolation_jit",
"polynomial_extrapolate_jit", "uhlmann_fidelity_jit", "zne_density_matrix_jit",
"calculate_advanced_sigma", "calculate_phi_ab", "calculate_vettore_dinamico",
"calculate_vettore_statico", "calculate_delta_preemp", "evaluate_phi_trigger",
"calculate_jax_reflection", "MemoryReflectionEngine", "GLOBAL_CONSTANTS",
"sandwiched_renyi_divergence", "sandwiched_renyi_divergence_jit",
"magic_entropy", "magic_entropy_jit",
"sample_classical_shadow", "magic_entropy_from_shadows",
"approx_shadow_std", "fit_shadow_sample_complexity",
]