AI RESEARCH
Physics Guided Generative Optimization for Trotter Suzuki Decomposition
arXiv CS.LG
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ArXi:2605.13268v1 Announce Type: cross Product formulas for Trotter Suzuki simulation remain a practical route to Hamiltonian evolution on noisy intermediate scale quantum (NISQ) hardware, yet their accuracy hinges on three coupled choices: term grouping, product formula order, and timestep allocation. Toolchains such as Qiskit and Paulihedral lean on hand tuned heuristics, while the discrete nature of grouping and order makes naive gradient based optimization awkward.