On Apr 4, 2011, at 11:30 PM, Brian Granger wrote:

> Hi,
> 
>> Could you give an example of how you construct large sparse matrices.
>> What sort of constructors would you like to see in the class ?
> 
> Our big sparse matrices are formed out of tensor products of 2x2
> matrices, such as Pauli and Hadamard matrices.  But these tensor
> products have *many* identity matrices as well, which makes them
> sparse.  Here is our matrix tensor product code:
> 
> https://github.com/sympy/sympy/blob/master/sympy/physics/quantum/matrixutils.py#L232
> 
> 
> Here is some specific examples:
> 
> In [1]: from sympy.physics.quantum import *
> 
> In [2]: from sympy.physics.quantum.gate import *
> 
> In [3]: g = X(2)
> 
> In [4]: represent(g, nqubits=4)
> 
> You could also look at what happens when you increase nqubits and also look 
> at:
> 
> g = Y(2)
> g = H(2)
> 
> 2 could also be any number < nqubits
> 
> In many ways one of the most useful things we could have would be a
> sparse tensor product.
> 
>> Are there any special class of sparse matrices that you guys use
>> often, like tridiagonal matrix or permutation matrix ?
> 
> Nope, in practice we get matrices that look quite different and have
> different sparsities.
> 
>>>> I should also mention that we are
>> pretty much only interested in matrix-vector multiplies, matrix-
>> scalar
>> mult. and matrix addition.
> 
>> Arent you also interested in solving A * x = B, or matrix-matrix
>> mult ?
> 
> Nope for this particular application, we don't need linear solves or
> matrix-matrix mul.

So what do you do with the matrices?

Aaron Meurer

> 
> Cheers,
> 
> Brian
> 
>> Thank you for your help,
>> Sherjil Ozair
>> 
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> 
> 
> 
> -- 
> Brian E. Granger
> Cal Poly State University, San Luis Obispo
> bgran...@calpoly.edu and elliso...@gmail.com
> 
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