Expand description
Neuromorphic-Quantum Fusion Algorithms (Advanced Mode)
This module represents the pinnacle of spatial computing innovation, fusing neuromorphic brain-inspired computing with quantum algorithms to create unprecedented spatial processing capabilities. These algorithms leverage quantum superposition to explore solution spaces while using spiking neural networks for adaptive refinement and biological optimization strategies.
§Revolutionary Fusion Concepts
- Quantum-Enhanced Spiking Networks - SNNs with quantum-assisted weight updates
- Neuromorphic Quantum State Evolution - Brain-inspired quantum state dynamics
- Bio-Quantum Adaptive Clustering - Natural selection meets quantum optimization
- Spike-Driven Quantum Search - Event-driven quantum amplitude amplification
- Quantum-Memristive Computing - In-memory quantum-neural computations
- Temporal Quantum Encoding - Time-based quantum information processing
- Bio-Inspired Quantum Error Correction - Immune system-like error recovery
§Breakthrough Algorithms
- QuantumSpikingClusterer - Quantum superposition + competitive learning
- NeuralQuantumOptimizer - Neural adaptation guides quantum evolution
- BioQuantumSearcher - Evolutionary quantum search algorithms
- MemristiveQuantumProcessor - In-memory quantum-neural computation
- SynapticQuantumLearner - STDP-enhanced quantum learning
§Examples
ⓘ
use scirs2_spatial::neuromorphic_quantum_fusion::{QuantumSpikingClusterer, NeuralQuantumOptimizer};
use scirs2_core::ndarray::array;
// Quantum-enhanced spiking neural clustering
let points = array![[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]];
let mut quantum_snn = QuantumSpikingClusterer::new(2)
.with_quantum_superposition(true)
.with_spike_timing_plasticity(true)
.with_quantum_entanglement(0.7)
.with_bio_inspired_adaptation(true);
let (clusters, quantum_spikes, fusion_metrics) = quantum_snn.cluster(&points.view()).await?;
println!("Quantum-neural clusters: {:?}", clusters);
println!("Quantum advantage: {:.2}x", fusion_metrics.quantum_neural_speedup);
// Neural-guided quantum optimization
let mut neural_quantum = NeuralQuantumOptimizer::new()
.with_neural_adaptation_rate(0.1)
.with_quantum_exploration_depth(5)
.with_bio_quantum_coupling(0.8);
let optimal_solution = neural_quantum.optimize_spatial_function(&objective).await?;Structs§
- Adaptive
Neuron - Adaptive neuron for optimization guidance
- Fusion
Metrics - Fusion performance metrics
- Neural
Quantum Optimization Result - Result of neural-quantum optimization
- Neural
Quantum Optimizer - Neural-quantum optimizer for spatial functions
- Neuroplasticity
Parameters - Neuroplasticity parameters
- Optimization
Step - Optimization step record
- Quantum
Spike Event - Quantum spike event with neural and quantum properties
- Quantum
Spike Pattern - Pattern of quantum spikes in an iteration
- Quantum
Spiking Clusterer - Quantum-enhanced spiking neural clusterer
- Quantum
Spiking Neuron - Quantum-enhanced spiking neuron
- Quantum
Synapse - Quantum synaptic connection
- STDP
Rule - Spike-timing dependent plasticity rule