arXiv Machine Learning By WenBin Yan

Physics Guided Generative Optimization for Trotter Suzuki Decomposition

Read the original on arXiv Machine Learning →

arXiv:2605. 13268v2 Announce Type: replace-cross Abstract: Trotter Suzuki product formulas are the standard route to Hamiltonian evolution on noisy intermediate-scale quantum (\NISQ{}) hardware, but their accuracy depends on three coupled choices: term grouping, product-formula order, and time-step allocation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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