IsingSim uses Walsh-Fourier expansion and convolution to efficiently evaluate and differentiate higher-order Ising Hamiltonians, and its experiments suggest Type I spins outperform Type II and III on parity learning with error.
A scalable shannon entropy estimator,
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Analysis of Higher-Order Ising Hamiltonians
IsingSim uses Walsh-Fourier expansion and convolution to efficiently evaluate and differentiate higher-order Ising Hamiltonians, and its experiments suggest Type I spins outperform Type II and III on parity learning with error.