| # 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) | |