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by mert-kurttutan
20 days ago
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We can model many "reality" with the classical methods good enough, using Deep Learning and Tensor Network based methods, see for instance
- https://quantumfrontiers.com/author/roundsphereblog/
- https://www.quantamagazine.org/key-chemistry-question-answer... When it comes to many of these systems relevant real world (e.g. quantum chemistry), classical heuristic-based approaches are already successful enough. For instance, you can run one of the simulations in Garnet Chan paper in a 10-15 minutes using some machine similar to DGX Spark to simulate FeMo-cofactor model within accepted quantum chemistry precisions. I believe its biggest application will be to explore some areas in quantum information (e.g. quantum coherence), all the practical applications will be minor. |
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