HybridTrainingConfig

quantrs2_sim::quantum_machine_learning_layers

Struct HybridTrainingConfig 

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pub struct HybridTrainingConfig {
    pub enabled: bool,
    pub classical_architecture: ClassicalArchitecture,
    pub interface_config: QuantumClassicalInterface,
    pub alternating_schedule: AlternatingSchedule,
    pub gradient_flow: GradientFlowConfig,
}
Expand description

Hybrid training configuration

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§enabled: bool

Enable hybrid classical-quantum training

§classical_architecture: ClassicalArchitecture

Classical neural network architecture

§interface_config: QuantumClassicalInterface

Quantum-classical interface

§alternating_schedule: AlternatingSchedule

Alternating training schedule

§gradient_flow: GradientFlowConfig

Gradient flow configuration

Trait Implementations§

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impl Clone for HybridTrainingConfig

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fn clone(&self) -> HybridTrainingConfig

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 HybridTrainingConfig

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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 HybridTrainingConfig

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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 HybridTrainingConfig

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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 HybridTrainingConfig

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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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