Hey everyone,

This is a quick development update from the Qelum project.
After building the core system for amplifying classical bit patterns using quantum-inspired entanglement logic, we’re now testing something new:

What we’re doing

We’re running a first modular compatibility test between the Qelum Core
(entanglement graph, recursive collapse, probabilistic state resolution) and a basic networking layer.

The goal is to explore whether Qelum’s logic can be applied in a networking context, such as:

• Predictive caching
• Smarter routing decisions
• Traffic prioritization using probabilistic logic

Key questions we’re testing

• Can the Qelum Core run as a standalone module in a real-time data environment?
• Can it analyze network traffic patterns to make decisions based on entangled states?
• Can Qubit-style collapse logic provide practical gains in routing or prefetching?

Example test scenario (early stage)

[ Incoming Request ] → [ QelumNetAccel Test Module ] | BitGraph evaluation, pattern prediction, superposition-based cache logic | → [ Target Server ] 

Current status

This is not a final product — just an early proof-of-concept.
If successful, it may lead to future modules like:

• Probabilistic CDN prefetch prediction
• Entanglement-based edge caching
• Quantum-inspired network optimization for latency-sensitive systems

Notice

This project is currently in experimental development.
The core architecture is not open source and is being evaluated in a closed environment.
Any potential release or collaboration will be decided at a later stage.

If you’re working on similar architectures or have thoughts on modeling real-time I/O using probabilistic logic, feel free to comment or reach out.

Thanks for reading.