An efficient learning algorithm reconstructs fermionic circuits built from Gaussian unitaries plus a constant number of parity-preserving non-Gaussian gates, up to small diamond-norm error.
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Efficiently learning fermionic unitaries with few non-Gaussian gates
An efficient learning algorithm reconstructs fermionic circuits built from Gaussian unitaries plus a constant number of parity-preserving non-Gaussian gates, up to small diamond-norm error.