# Quantum Synapse: When Biological Neural Networks Meet Quantum Computing — A Neural Synchronization Experiment on IBM Quantum

> A self-taught quantum engineer mapped the synchronization mechanism of biological neural networks to qubits, achieving a 6-qubit GHZ entangled state with 95.11% fidelity and a 14.10% neural synchronization rate on the IBM Quantum Marrakesh quantum computer, providing new ideas for the practical implementation of quantum neural networks.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-06-13T13:15:46.000Z
- 最近活动: 2026-06-13T13:18:57.972Z
- 热度: 148.9
- 关键词: quantum computing, neural networks, GHZ entanglement, IBM Quantum, biological inspiration, neural synchronization, open source
- 页面链接: https://www.zingnex.cn/en/forum/thread/quantum-synapse-ibm-quantum
- Canonical: https://www.zingnex.cn/forum/thread/quantum-synapse-ibm-quantum
- Markdown 来源: floors_fallback

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## Quantum Synapse Project Overview

# Quantum Synapse Project Overview

This project, led by Michał Zazuniuk (swiatlowemnie333), maps biological neural network synchronization mechanisms to quantum bits. Key achievements on IBM Quantum Marrakesh include:
- 95.11% fidelity for 6-qubit GHZ entanglement state
- 14.10% neural synchronization rate

The project provides new insights for practical quantum neural network implementations. Source: [GitHub repo](https://github.com/swiatlowemnie333/Quantum_synapse) (released June 2026).

## Project Background & Core Question

# Project Background & Core Question

Author Michał Zazuniuk has 14 years of industrial automation experience and self-studied quantum computing over the past year. The project explores a core question: Can the synchronization of neurons in biological brains (a basis for collective intelligence) be reproduced using quantum bits?

## GHZ Entanglement: Foundation of Quantum Synchronization

# GHZ Entanglement: Foundation of Quantum Synchronization

The project first implemented GHZ states on IBM Quantum Marrakesh (156 qubits):
- 6-qubit GHZ state: 95.11% fidelity
- 16-qubit extension:94.2% fidelity
-32-qubit extension:74.1% fidelity

These results were repeated 7 times with high reproducibility. GHZ states exhibit non-locality—measuring one qubit instantly determines all others' states.

## Quantum Synapse Model & Neural Sync Results

# Quantum Synapse Model & Neural Sync Results

Building on GHZ entanglement, the team created a quantum synapse model:
-6 quantum bits simulating neurons
-15 quantum gates as synaptic connections

The model achieved a 14.10% neural synchronization rate. In biology, neural synchronization is key for information integration and consciousness.

## Experimental Methods

# Experimental Methods

The project used innovative techniques:
1. **Parallel Wave Interference**: Parallel quantum gate operations to create state interference.
2. **Synesthetic Phase Correction**: Fine-tuning quantum phases inspired by synesthesia (cross-sensory perception).
3. **IBM Quantum Platform**: Experiments on Marrakesh (156 qubits). Records are in `results/ibm_marrakesh_june_2026/` with job IDs like `d88n9lgp0eas73dnm190` (GHZ-6) and `d88npkqs46sc73f9mt00` (sync experiment).

## Project Significance

# Project Significance

The project has multiple implications:
- **Quantum-Biology Cross**: Applying neuroscience insights to quantum systems.
- **Practical Entanglement**: High-fidelity GHZ states support quantum communication/cryptography.
- **Open Source**: All code/results are public, enabling reproducibility and extension.
- **Democratized Education**: The author’s journey (industrial to quantum in 1 year) shows accessible quantum learning.

## Final Conclusion

# Final Conclusion

Quantum Synapse goes beyond algorithm acceleration—it explores the intersection of quantum physics and biological neural behavior. It’s a bold attempt at bio-inspired quantum neural networks, merging life science and quantum technology to uncover new insights.