QuantumPeer: Quantum-Enhanced OpenPeerLLM

Model Description

QuantumPeer implements a novel approach to language model execution by combining OpenPeerLLM with quantum circuit simulation inspired by the Chern-Simons theory. This hybrid approach enables unique quantum-classical interactions in natural language processing.

Intended Uses

• Research in quantum-enhanced language models
• Development of hybrid quantum-classical AI systems
• Educational purposes in quantum computing
• Natural language processing with quantum inspiration

Training Procedure

The model utilizes:

• Base Model: OpenPeerLLM
• Quantum Circuit: Custom implementation with Chern-Simons topology
• Integration: Quantum state influence on attention mechanisms

Technical Specifications

• Framework: PyTorch + Custom Quantum Simulator
• Parameters: Based on OpenPeerLLM architecture
• Input Format: Text prompts
• Output Format: Generated text with quantum enhancement
• Model Architecture: Hybrid quantum-classical

Limitations & Biases

• Simulation-based quantum computing (not real quantum hardware)
• Performance dependent on classical computing resources
• Inherits any limitations from base OpenPeerLLM model

Out-of-Scope Uses

• Production-critical applications
• Safety-critical systems
• Applications requiring true quantum hardware

Additional Information

License: CC-BY-NC-4.0/CC-BY-NC-SA - All rights reserved

Creators:

• OpenPeerAI
• Andrew Magdy Kamal Nassief
• Riemann Computing