Autoregressive PQMC uses an RNN as the guiding wavefunction in projective quantum Monte Carlo and achieves lower energies and lower variance than unguided PQMC on 1D Hermitian and non-Hermitian Ising chains.
In principle, for a NH system in aP T-unbroken regime, one can always find a simi- larity transformation that transforms the model into a Hermitian model [48]
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Autoregressive Projective Quantum Monte Carlo: From a Hermitian to a Non-Hermitian Perspective
Autoregressive PQMC uses an RNN as the guiding wavefunction in projective quantum Monte Carlo and achieves lower energies and lower variance than unguided PQMC on 1D Hermitian and non-Hermitian Ising chains.