QuTiP: Resolving inconsistent Qobj shapes












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This was previously explored in QuTiP TypeError: Incompatible Qobj shapes with tensor product but I'm not sure about the answer there.



Suppose I define A = tensor(qeye(2), qeye(2)) and B = qeye(4), I cannot multiply them because the object shapes are inconsistent.



However, the matrices are of the same dimension and I would like to "flatten" A to allow it to be multiplied by B. If I have a combination of seperable operators and non-seperable ones, how do I use them together? In other words, B cannot be simplified further so what should I do to A to allow them to be multiplied?



EDIT: The clunky looking Qobj(A.data.toarray()) works but I'll leave this open in case someone has a better idea or understands why QuTiP does this.










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    0














    This was previously explored in QuTiP TypeError: Incompatible Qobj shapes with tensor product but I'm not sure about the answer there.



    Suppose I define A = tensor(qeye(2), qeye(2)) and B = qeye(4), I cannot multiply them because the object shapes are inconsistent.



    However, the matrices are of the same dimension and I would like to "flatten" A to allow it to be multiplied by B. If I have a combination of seperable operators and non-seperable ones, how do I use them together? In other words, B cannot be simplified further so what should I do to A to allow them to be multiplied?



    EDIT: The clunky looking Qobj(A.data.toarray()) works but I'll leave this open in case someone has a better idea or understands why QuTiP does this.










    share|improve this question



























      0












      0








      0







      This was previously explored in QuTiP TypeError: Incompatible Qobj shapes with tensor product but I'm not sure about the answer there.



      Suppose I define A = tensor(qeye(2), qeye(2)) and B = qeye(4), I cannot multiply them because the object shapes are inconsistent.



      However, the matrices are of the same dimension and I would like to "flatten" A to allow it to be multiplied by B. If I have a combination of seperable operators and non-seperable ones, how do I use them together? In other words, B cannot be simplified further so what should I do to A to allow them to be multiplied?



      EDIT: The clunky looking Qobj(A.data.toarray()) works but I'll leave this open in case someone has a better idea or understands why QuTiP does this.










      share|improve this question















      This was previously explored in QuTiP TypeError: Incompatible Qobj shapes with tensor product but I'm not sure about the answer there.



      Suppose I define A = tensor(qeye(2), qeye(2)) and B = qeye(4), I cannot multiply them because the object shapes are inconsistent.



      However, the matrices are of the same dimension and I would like to "flatten" A to allow it to be multiplied by B. If I have a combination of seperable operators and non-seperable ones, how do I use them together? In other words, B cannot be simplified further so what should I do to A to allow them to be multiplied?



      EDIT: The clunky looking Qobj(A.data.toarray()) works but I'll leave this open in case someone has a better idea or understands why QuTiP does this.







      python qutip






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      edited Nov 13 '18 at 0:27







      user1936752

















      asked Nov 12 '18 at 19:06









      user1936752user1936752

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          Yes using Qobj.data you get the matrix representing the state or operator.



          Hence A.data * B.data allows you to multiply them together. Once you've done that you can enclose it in Qobj(A.data * B.data) to make it a quantum object.






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            Yes using Qobj.data you get the matrix representing the state or operator.



            Hence A.data * B.data allows you to multiply them together. Once you've done that you can enclose it in Qobj(A.data * B.data) to make it a quantum object.






            share|improve this answer




























              0














              Yes using Qobj.data you get the matrix representing the state or operator.



              Hence A.data * B.data allows you to multiply them together. Once you've done that you can enclose it in Qobj(A.data * B.data) to make it a quantum object.






              share|improve this answer


























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                0






                Yes using Qobj.data you get the matrix representing the state or operator.



                Hence A.data * B.data allows you to multiply them together. Once you've done that you can enclose it in Qobj(A.data * B.data) to make it a quantum object.






                share|improve this answer














                Yes using Qobj.data you get the matrix representing the state or operator.



                Hence A.data * B.data allows you to multiply them together. Once you've done that you can enclose it in Qobj(A.data * B.data) to make it a quantum object.







                share|improve this answer














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                edited Nov 14 '18 at 11:58

























                answered Nov 13 '18 at 19:12









                TurbotantenTurbotanten

                1978




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