Quantum-Inspired
Neural Networks
Hybrid classical-quantum architecture for enhanced learning and decision-making. Open research platform for Industry 4.0, robotics, and autonomous systems.
Three Experimentation Modes
From theoretical algorithms to real quantum hardware deployment
Theoretical
Algorithm development and mathematical proofs. Design quantum-inspired memory mechanisms and neural architectures.
Simulated
Classical simulation and validation. Test algorithms on standard hardware before quantum deployment.
Real Hardware
Quantum device deployment. Run experiments on actual quantum computers and hybrid systems.
Research Specifications
Hybrid architecture combining classical deep learning with quantum-inspired memory
Technical Specifications
Bridging Theory & Practice
Three Modes
Theoretical, simulated, and real-hardware modes. Move from ideas to quantum devices seamlessly.
Industry 4.0 Focus
Integrations for telemetry, observability, and asset management. Research meets production.
Hybrid Architecture
Combine classical neural networks with quantum-inspired memory operations for enhanced performance.
Dual License
Open for academic research, commercial licensing available for industrial applications.
Academic Partnerships
Collaborate with universities and research institutions. Publish findings, advance the field.
NeuralOS Integration
Deploy quantum-augmented models to edge devices. Run experiments on real hardware.
From Lab to Industry
Quantum-augmented neural networks for academic research and industrial deployment
Academic Research
Explore quantum-inspired algorithms, publish papers, and advance the theoretical foundations of quantum machine learning. QMANN provides three experimentation modes (theoretical, simulated, real-hardware) for comprehensive research workflows. Open collaboration with universities and research institutions worldwide.
Predictive Maintenance
Deploy quantum-augmented models for industrial predictive maintenance. QMANN enhances anomaly detection, failure prediction, and remaining useful life (RUL) estimation for manufacturing equipment, turbines, and robotics. Reduce downtime by 60% with quantum-enhanced pattern recognition.
Optimization & Planning
Solve complex optimization problems with quantum-inspired algorithms. QMANN accelerates supply chain optimization, route planning, resource allocation, and scheduling for logistics, manufacturing, and autonomous systems. Achieve 10-100x speedup on combinatorial optimization tasks.
AI Decision Support
Enhance autonomous systems with quantum-augmented decision-making. QMANN improves reinforcement learning, multi-agent coordination, and strategic planning for robotics, autonomous vehicles, and smart manufacturing. Deploy on NeuralOS for real-time edge inference.
Join the Research
Explore quantum-augmented neural networks. Open for academic collaboration and industrial partnerships.