Python
vortex-pqc
PyPI package page
Verify publisher on PyPI before installing in your environment
Lab distribution · Multi-language manifest
31 open-source packages spanning post-quantum cryptography, quantum-classical optimization, edge ML, and systems infrastructure — maintained by Post-Quantum Labs, a Bajpai Labs initiative. Bindings ship across Python, Rust, C, and Go with dedicated product pages under /libraries/.
Flagship releases
VORTEX-256, ML-KEM-512, and HyperFabric interconnect — the same primitives behind research papers and production deployments.
VORTEX-256: novel post-quantum KEM based on Rotational Module LWE (RotMLWE). ML-KEM-512 wire footprint with reduced XOF overhead.
Native high-performance ML-KEM-512 (Kyber-512) implementation for production stacks.
Ultra-low-latency interconnect protocol for AI superclusters and quantum simulation networks.
Multi-language stack
Libraries ship with unified wire formats and API semantics across bindings. Start in Python for integration tests, drop to Rust for services, and call native C from firmware — without rewriting the protocol.
1 dedicated product page live · remainder indexing to PyPI
Python
vortex-pqc
PyPI package page
Verify publisher on PyPI before installing in your environment
Rust
vortex-pqc
crates.io listing
Rust bindings for production services
C
vortex_pqc.h
Native C headers
Bare-metal and kernel integrations via GitHub releases
Go
vortex-pqc
Go module path
Cloud backend and systems tooling
Complete lab distribution manifest
VORTEX-256: novel post-quantum KEM based on Rotational Module LWE (RotMLWE). ML-KEM-512 wire footprint with reduced XOF overhead.
Native high-performance ML-KEM-512 (Kyber-512) implementation for production stacks.
Ultra-low-latency interconnect protocol for AI superclusters and quantum simulation networks.
Hybrid quantum-classical optimization framework for combinatorial and non-convex search.
Meta-Recursive Cognitive Engine Plus — triple-loop cognitive system with multi-tiered memory and LLM integration.
Decentralized AI training platform for federated and distributed workloads.
Cognitive simulation engine for modeling and testing advanced AI architectures.
Autonomous model optimization with meta-learning and hybrid tuning.
Generative quantum field theory framework for matter-class discovery.
High-performance algorithmic trading platform (Bajpai Labs · Vedanshi Gupta).
Evolutionary bio-compiler for programming biology through evolution.
Multi-modal AI agent framework with production-oriented performance features.
Computational framework for modeling consciousness emergence.
Universal quantum compiler based on topological principles and anyonic braiding.
Quantum-inspired system for evolving, mutating, and entangling memetic structures.
Quantum-inspired reasoning, entangled memory, and multi-agent cooperation.
Quantum-enhanced GAN framework for high-fidelity synthetic data generation.
Classical-to-quantum data embedding for quantum machine learning.
Quantum-enhanced knowledge graph reasoning via entanglement principles.
Quantum entanglement-inspired natural language processing framework.
Quantum-classical hybrid reasoning for uncertainty-aware inference.
Dynamic Hierarchical Cooperative Swarm optimization (DHCS).
Meta-learning experiments for quantum-classical systems.