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tetragono: Add neural network state based on sampling methods.
tetraku: Add quantum chemistry model which reads Hamiltonian in openfermion format.
tetragono: Add support for tracing repeated points when setting hamiltonian term. To use this feature, call state.hamiltonians.trace_repeated after all the hamiltonian term has been set. For those term which will not be
traced, user could exchange the edge indices and points at the same time. For example a tensor with edges name as [O0, I0, O1, I1] on points (0,0,0) and (0,0,1), we can rename the tensor edge to [O1, I1, O0, I0] (it is
rename, not transpose!), and apply it to points (0,0,1) and (0,0,0), and the system does not change. But for terms
which may be traced, we cannot exchange them. The order of edge indices hint the rule how to trace if points
duplicated.
tetragono: Add support to combine hamiltonian terms on the same group of points with different orders by sort_points, which make the program faster for simple update and exact update.
tetragono: Add support to check whether the hamiltonians is hermitian by check_hermite(threshold), which requires sort_points invoked first.
Removed
tetragono: Remove SIGINT handle in gradient descent.
Fixed
tetragono: Fix the import issue in tetragono.
tetragono: Fix missing signal SIGUSR1 in windows platform.