Functions for arithmetic operations of two tensor networks
Does cuQuantum include efficient functions for implementing arithmetic operations, i.e., addition and subtraction, on two tensor networks?
What do you mean exactly? Addition and subtraction of entire tensor networks or something else?
For instance, to compute the elementwise sum of a and b, using mps_a and mps_b, where a and b represent two state vectors approximated by the Matrix Product States mps_a and mps_b, respectively.
If you want to (add/subtract/sum elementwise) of one tensor, you can use the cuTENSOR library. cuQuantum performs contraction of a tensor network. if you want to add/subtract a tensor network (more than one tensor) then you might want to do it one by one using the cuTENSOR. Currently cuQuantum doesn't offer such unitary operation on a network.