| _version_ | 1866902137211977728 |
|---|---|
| author | Yang, Jiaxuan |
| author_facet | Yang, Jiaxuan |
| contents | <blockquote> <p>Abstract</p> <p>This repository contains Python source code (using Qiskit) demonstrating the "Operational Irreversibility" in chaotic quantum systems under strict relativistic constraints.</p> </blockquote> <blockquote> <p><strong>Key Experiments:</strong></p> </blockquote> <blockquote> <ol> <li> <p><strong>The Rolling Shutter Effect:</strong> Simulates a deterministic chaotic system where the reversal operator is subjected to a signal propagation delay (Lieb-Robinson bound). It demonstrates a sharp phase transition from recoverability (F=1.0) to thermalization (F=0.5) when the signal lag exceeds the scrambling time.</p> </li> <li> <p><strong>Precise Scaling Verification:</strong> Verifies the proposed "Omega" criterion ($\Omega = \lambda L / c$). The data shows a universal collapse at $\Omega = 1$ across different system sizes (L=6, L=12), confirming the geometric necessity of information loss due to causal horizons.</p> </li> </ol> </blockquote> <blockquote> <p>Usage:</p> <p>Run the scripts to reproduce the phase transition plots. Requires qiskit, qiskit-aer, and matplotlib.</p> </blockquote> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18270076 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Python Implementation of the Relativistic Rolling Shutter Model Yang, Jiaxuan <blockquote> <p>Abstract</p> <p>This repository contains Python source code (using Qiskit) demonstrating the "Operational Irreversibility" in chaotic quantum systems under strict relativistic constraints.</p> </blockquote> <blockquote> <p><strong>Key Experiments:</strong></p> </blockquote> <blockquote> <ol> <li> <p><strong>The Rolling Shutter Effect:</strong> Simulates a deterministic chaotic system where the reversal operator is subjected to a signal propagation delay (Lieb-Robinson bound). It demonstrates a sharp phase transition from recoverability (F=1.0) to thermalization (F=0.5) when the signal lag exceeds the scrambling time.</p> </li> <li> <p><strong>Precise Scaling Verification:</strong> Verifies the proposed "Omega" criterion ($\Omega = \lambda L / c$). The data shows a universal collapse at $\Omega = 1$ across different system sizes (L=6, L=12), confirming the geometric necessity of information loss due to causal horizons.</p> </li> </ol> </blockquote> <blockquote> <p>Usage:</p> <p>Run the scripts to reproduce the phase transition plots. Requires qiskit, qiskit-aer, and matplotlib.</p> </blockquote> |
| title | Python Implementation of the Relativistic Rolling Shutter Model |
| url | https://doi.org/10.5281/zenodo.18270076 |