Ultrametric Physics: Module 7: Thermodynamic Limits with Scaling Ratios
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2026
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| _version_ | 1866901355527929856 |
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| author | Quni-Gudzinas, Rowan Brad |
| author_facet | Quni-Gudzinas, Rowan Brad |
| contents | <p>The laws of thermodynamics impose fundamental limits on all physical computation, determining minimum energy requirements, maximum operating temperatures, and ultimate scalability. In the ratio-based framework, the hierarchical tree structure with scaling ratio $q$ creates a distinctive <strong>energy landscape</strong> with barriers scaling as $E_{\text{barrier}} \propto q^d$, where $d$ is tree depth. This fundamentally alters thermodynamic constraints compared to conventional quantum architectures, introducing the scaling ratio $q$ as a key optimization parameter in thermodynamic tradeoffs.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19437894 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Ultrametric Physics: Module 7: Thermodynamic Limits with Scaling Ratios Quni-Gudzinas, Rowan Brad <p>The laws of thermodynamics impose fundamental limits on all physical computation, determining minimum energy requirements, maximum operating temperatures, and ultimate scalability. In the ratio-based framework, the hierarchical tree structure with scaling ratio $q$ creates a distinctive <strong>energy landscape</strong> with barriers scaling as $E_{\text{barrier}} \propto q^d$, where $d$ is tree depth. This fundamentally alters thermodynamic constraints compared to conventional quantum architectures, introducing the scaling ratio $q$ as a key optimization parameter in thermodynamic tradeoffs.</p> |
| title | Ultrametric Physics: Module 7: Thermodynamic Limits with Scaling Ratios |
| url | https://doi.org/10.5281/zenodo.19437894 |