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Modular Python framework for quantum machine learning using PennyLane, including variational classifiers, quantum kernels, and reproducible workflows for hybrid quantum–classical experiments.
Simulation study: do learned-angle Strang-skeleton circuits for Ising propagators still beat Strang/Suzuki product formulas once rotations are costed in synthesised T gates? 4-8 qubits, angle and Pauli noise sweeps, ablation, 3-5 seeds, PyTorch.