File size: 1,323 Bytes
70832c0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
# Citation

If you use this work in your research, please cite:

```bibtex

@article{murray2025biotranscendent,

  title={Mathematical Framework for Bio-Transcendent Intelligence: with Phase-4 Application Results},

  author={Murray, Jeff N},

  year={2025},

  month={August},

  note={Personal research project. Available at: https://huggingface.co/jmurray10/phase4-quantum-compression}

}

```

## Paper Abstract

We present an application-validated framework for intelligence beyond biological constraints, combining quantum search, adaptive computation, reliability-first memory, and efficiency-driven compression. New Phase-4 experiments demonstrate:

1. Grover's search executed end-to-end on real quantum hardware (IBM backend), achieving marked-state success of 59.9% over 2048 shots (simulator: 95.3%)
2. Near-theoretical 4� model compression on MLPs (3.92� measured from serialized weights) with minimal output drift (MAE 0.0018)
3. An energy proxy reduction of 62.1% for INT8 vs FP32 with a small latency trade-off on CPU small batches
4. Genuine optimization trade-offs where SGD is 3.9� faster while Evolution attains 128� lower final loss

## Access the Full Paper

- [Download PDF](./papers/BioTranscendent_Intelligence_Phase4.pdf)
- [View on GitHub](https://github.com/jmurray10/phse_4)