AnalysisConfig

quantrs2_tytan::quantum_advantage_analysis

Struct AnalysisConfig 

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pub struct AnalysisConfig {
    pub problem_size_range: (usize, usize),
    pub num_samples: usize,
    pub confidence_level: f64,
    pub classical_baselines: Vec<ClassicalAlgorithm>,
    pub quantum_algorithms: Vec<QuantumAlgorithm>,
    pub hardware_models: Vec<HardwareModel>,
    pub noise_models: Vec<NoiseModel>,
}

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§problem_size_range: (usize, usize)

Problem size range for analysis

§num_samples: usize

Number of samples for statistical analysis

§confidence_level: f64

Confidence level for advantage detection

§classical_baselines: Vec<ClassicalAlgorithm>

Classical algorithms to compare against

§quantum_algorithms: Vec<QuantumAlgorithm>

Quantum algorithms to analyze

§hardware_models: Vec<HardwareModel>

Hardware models to consider

§noise_models: Vec<NoiseModel>

Noise models for realistic analysis

Trait Implementations§

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impl Clone for AnalysisConfig

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fn clone(&self) -> AnalysisConfig

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for AnalysisConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for AnalysisConfig

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for AnalysisConfig

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for AnalysisConfig

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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