quantrs2_device/quantum_ml/
inference.rs1use super::*;
6use serde::{Deserialize, Serialize};
7use std::collections::HashMap;
8
9pub struct QuantumInferenceEngine {
11 device: Arc<RwLock<dyn QuantumDevice + Send + Sync>>,
12 config: QMLConfig,
13}
14
15impl QuantumInferenceEngine {
16 pub fn new(
17 device: Arc<RwLock<dyn QuantumDevice + Send + Sync>>,
18 config: &QMLConfig,
19 ) -> DeviceResult<Self> {
20 Ok(Self {
21 device,
22 config: config.clone(),
23 })
24 }
25
26 pub async fn inference(
27 &self,
28 model: &QMLModel,
29 input_data: InferenceData,
30 ) -> DeviceResult<InferenceResult> {
31 let prediction = input_data.features.iter().sum::<f64>() / input_data.features.len() as f64;
33
34 Ok(InferenceResult {
35 prediction,
36 confidence: Some(0.95),
37 quantum_fidelity: Some(0.98),
38 execution_time: std::time::Duration::from_millis(100),
39 metadata: HashMap::new(),
40 })
41 }
42}