Module qip::state_ops

Enums

QubitOp

Types of unitary ops which can be applied to a state.

Functions

apply_op	Apply op to the input, storing the results in output. If either start at a nonzero state index in their 0th index, use input/output_offset.
apply_ops	Apply ops to the input, storing the results in output. If either start at a nonzero state index in their 0th index, use input/output_offset. This is much less efficient as compared to repeated applications of apply_op, if your ops can be applied in sequence, do so with apply_op.
from_reals	Make a vector of complex numbers whose reals are given by data
from_tuples	Make a vector of complex numbers whose reals are given by the first tuple entry in data and whose imaginaries are from the second.
full_to_sub	Get the index for a submatrix indexed by indices given the full_index for the larger 2^n by 2^n matrix.
get_index	Get the ith qubit index for op
make_control_op	Make a Control QubitOp
make_function_op	Make a Function QubitOp
make_matrix_op	Make a Matrix QubitOp
make_op_matrix	Make the full op matrix from ops. Not very efficient, use only for debugging.
make_sparse_matrix_from_function	Make a SparseMatrix QubitOp from a vector of rows (with (column, value)) build from a function f which takes row numbers. natural_order indicates that the lowest indexed qubit is the least significant bit in row and the output column from f
make_sparse_matrix_op	Make a SparseMatrix QubitOp from a vector of rows (with (column, value)). natural_order indicates that the lowest indexed qubit is the least significant bit in column and row where row is the index of dat.
make_swap_op	Make a Swap QubitOp
num_indices	Get the number of indices represented by op
select_matrix_coords	Given the full matrix row and col, find the given op's row and column using the full n, the op's nindices, the op's `indices'.
sub_to_full	Given the sub_index for the submatrix, and a base to overwrite values, get the full index for the 2^n by 2^n matrix.