| For a while, I’ve been trying to computationally bridge the gap between classical relativity and quantum mechanics. The issue with standard simulations is that when black holes evaporate, information is lost (violating Unitarity). I built the String-Star Manifold to fix this. It uses a tripartite loop (The Bandyopadhyay-Cycle) that lets classical gravity bend the spacetime, while forcing quantum mechanics to balance the books. How it works:
I ran this on a TPU V5 Lite for 100 epochs, tracking 1,000 discrete microstates. The total information complexity deviated by exactly 0.00%. GitHub Repo (JAX Code, Visuals, & Integrity Logs): https://github.com/Rupayan52/String-Star-Manifold Would love any feedback from the computational physics community on the N-body efficiency or the ER=EPR entanglement tracking! [link] [comments] |
I built a JAX-accelerated Manifold that simulates 100% Unitary Information Conservation (Solving the Black Hole data paradox via orbital decay. [R]
Reddit r/MachineLearning / 4/27/2026
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Key Points
- The author describes a JAX-accelerated simulation framework (“String-Star Manifold”) aimed at reconciling classical relativity with quantum mechanics for the black hole information (unitarity) problem.
- The approach combines relativistic orbital decay (via gravitational-wave dynamics rather than arbitrary friction), a holographic conversion of swallowed matter into discrete “surface bits,” and a ledger-like mechanism where leaked bits are recombined.
- The model is reportedly run on a TPU V5 Lite for 100 epochs, tracking 1,000 discrete microstates.
- The reported result is that the total information complexity deviates by exactly 0.00%, which the author presents as evidence of 100% unitary information conservation.
- The author shares a GitHub repository and asks the computational physics community for feedback on N-body efficiency and possible ER=EPR entanglement tracking.




