Advanced AI Intelligence Technology
Pleroma Works uses quantum-inspired mathematical frameworks running on standard GPU hardware to provide unprecedented insight into AI system behavior and transparency with immediate deployment value.
Quantum-Inspired Geometric Tensor (QGT) Processing
Mathematical foundation running on standard GPU hardware for immediate enterprise deployment
Our core technology decomposes AI decision-making geometry through quantum-inspired mathematical processing, providing unprecedented insight into both capacity and dynamics on standard enterprise hardware.
QGT Decomposition: Q = g + iΩ
- • Real Part (g): Fubini-Study metric - measures expressivity and capacity
- • Imaginary Part (Ω): Berry curvature - captures path-dependent dynamics
- • Enterprise Value: Complete visibility on standard GPU hardware
Mathematical Rigor
- • Fisher-Rao metric for information geometry
- • Natural gradients for optimal learning trajectories
- • Thermodynamic length minimization
Advanced Computational Methods
Hutch++ Algorithm
Optimal stochastic trace estimation with O(1/ε) convergence for large-scale matrix analysis.
- • Deflation-based optimization
- • Matrix-free computation
Stochastic Lanczos Quadrature
Efficient log-determinant estimation for positive-definite matrices.
- • Exponential convergence
- • Spectral density integration
Matrix-Rényi Entropy
Representation capacity measurement through normalized covariance analysis.
- • Eigendecomposition-based
- • Scalable computation
Streaming Entropy
Real-time attention and activation entropy monitoring during training.
- • Fused attention kernels
- • Memory-efficient streaming
HIGL Framework Integration
Hilbertian Information Geometry of Learning provides typed semantics and quantum-inspired analysis for rigorous neural network evaluation.
IGBP Monitoring
Information Geometry Balance Principle ensures stable learning by monitoring the balance between entropy growth and geometric curvature.
5 Architecture Families
Comprehensive validation across A4-GNN, Fourier, GNN, HAM, and VAE architectures with both classical and holographic variants.
API Integration
Easy-to-use REST API with comprehensive documentation for seamless integration into existing AI development workflows.
Standard GPU Hardware Deployment
Runs on standard enterprise GPU hardware - no specialized quantum computers required. Immediate deployment value with existing infrastructure.
Enterprise Scalability
Built for enterprise scale with robust API infrastructure and custom integration support for large-scale deployments.
Ready to explore our technology?
Deploy quantum-inspired mathematical frameworks on your existing GPU infrastructure