Experience quantum-enhanced AI search across satellite imagery, rare disease identification, traffic safety, and financial fraud detection datasets. Try our quantum models - no login required.
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Experience the power of quantum computing for satellite imagery analysis. Search across 62 object classes using quantum-enhanced AI models - no login required.
This is a demonstration of quantum-enhanced search, a key capability of the quantum internet. The quantum models find rare objects that classical AI misses, showcasing quantum advantage in real-world applications.
Get full platform access to train quantum models, monitor real-time metrics, and deploy custom quantum-enhanced AI applications.
Quantum-enhanced AI models using Matrix Product State (MPS) quantum circuits with 8-qubit architectures. Currently deployed for satellite imagery analysis on the FMoW dataset, detecting rare objects across 62 classes with 92% recall.
Production models trained on FMoW satellite imagery dataset with Matrix Product State quantum circuits.
Matrix Product State Architecture
Flagship quantum-enhanced satellite detector with 80M parameters. Uses 8-qubit Matrix Product State circuits for quantum feature extraction, achieving 95.4% recall on rare objects - 16% higher than classical baselines (F1: 0.60 vs 0.23, AUC: 0.987 vs 0.875).
ResNet + Quantum Layers
Hybrid architecture combining ResNet-50 classical backbone with quantum enhancement layers. Achieves 95.4% recall with 0.60 F1 score and 0.987 AUC. Optimized for edge deployment with lower latency while maintaining high quantum performance.
NASA/IBM Foundation Model (ViT)
Vision Transformer foundation model from NASA and IBM, pre-trained on Harmonized Landsat Sentinel (HLS) data. Classical baseline achieving 79.3% recall (F1: 0.23, AUC: 0.875), demonstrating 16% quantum advantage gap in rare object detection.
Experience quantum-enhanced AI search across satellite imagery, rare disease identification, traffic safety, and financial fraud detection datasets.
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