QuantumReservoirConfig

quantrs2_sim::quantum_reservoir_computing

Struct QuantumReservoirConfig 

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pub struct QuantumReservoirConfig {
Show 23 fields
    pub num_qubits: usize,
    pub architecture: QuantumReservoirArchitecture,
    pub dynamics: ReservoirDynamics,
    pub input_encoding: InputEncoding,
    pub output_measurement: OutputMeasurement,
    pub learning_config: AdvancedLearningConfig,
    pub time_series_config: TimeSeriesConfig,
    pub topology_config: TopologyConfig,
    pub adaptive_config: AdaptiveLearningConfig,
    pub memory_config: MemoryAnalysisConfig,
    pub hardware_config: HardwareOptimizationConfig,
    pub benchmark_config: BenchmarkingConfig,
    pub time_step: f64,
    pub evolution_steps: usize,
    pub coupling_strength: f64,
    pub noise_level: f64,
    pub memory_capacity: usize,
    pub adaptive_learning: bool,
    pub learning_rate: f64,
    pub washout_period: usize,
    pub random_seed: Option<u64>,
    pub enable_qec: bool,
    pub precision: f64,

}
Expand description

Advanced quantum reservoir computing configuration

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§num_qubits: usize

Number of qubits in the reservoir

§architecture: QuantumReservoirArchitecture

Reservoir architecture type

§dynamics: ReservoirDynamics

Dynamics evolution type

§input_encoding: InputEncoding

Input encoding method

§output_measurement: OutputMeasurement

Output measurement strategy

§learning_config: AdvancedLearningConfig

Advanced learning algorithm configuration

§time_series_config: TimeSeriesConfig

Time series modeling configuration

§topology_config: TopologyConfig

Topology and connectivity configuration

§adaptive_config: AdaptiveLearningConfig

Adaptive learning configuration

§memory_config: MemoryAnalysisConfig

Memory analysis configuration

§hardware_config: HardwareOptimizationConfig

Hardware optimization configuration

§benchmark_config: BenchmarkingConfig

Benchmarking configuration

§time_step: f64

Time step for evolution

§evolution_steps: usize

Number of evolution steps per input

§coupling_strength: f64

Reservoir coupling strength

§noise_level: f64

Noise level (for NISQ dynamics)

§memory_capacity: usize

Memory capacity (time steps to remember)

§adaptive_learning: bool

Enable real-time adaptation

§learning_rate: f64

Learning rate for adaptation

§washout_period: usize

Washout period (initial time steps to ignore)

§random_seed: Option<u64>

Random seed for reproducibility

§enable_qec: bool

Enable quantum error correction

§precision: f64

Precision for calculations

Trait Implementations§

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impl Clone for QuantumReservoirConfig

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fn clone(&self) -> QuantumReservoirConfig

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 QuantumReservoirConfig

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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 QuantumReservoirConfig

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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 QuantumReservoirConfig

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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 QuantumReservoirConfig

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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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