Difference between revisions of "RandomUnitary"

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==Syntax==
 
==Syntax==
 
* <tt>U = RandomUnitary(DIM)</tt>
 
* <tt>U = RandomUnitary(DIM)</tt>
* <tt>U = RandomUnitary(DIM,RE)</tt>\
+
* <tt>U = RandomUnitary(DIM,RE)</tt>
  
 
==Argument descriptions==
 
==Argument descriptions==

Revision as of 00:02, 24 November 2012

RandomUnitary
Generates a random unitary or orthogonal matrix

Other toolboxes required opt_args
Related functions RandomDensityMatrix
RandomStateVector
RandomSuperoperator

RandomUnitary is a function that generates a random unitary or orthogonal matrix, uniformly according to Haar measure.

Syntax

  • U = RandomUnitary(DIM)
  • U = RandomUnitary(DIM,RE)

Argument descriptions

  • DIM: The number of rows (or equivalently, columns) that U will have.
  • RE (optional, default 0): A flag (either 0 or 1) indicating that U should only have real entries (RE = 1) or that it is allowed to have complex entries (RE = 1). That is, if you set RE = 1 then U will be an orthogonal matrix, not just a unitary matrix.

Examples

A random qubit gate

To generate a random quantum gate that acts on qubits, you could use the following code:

>> RandomUnitary(2)

ans =

   0.2280 + 0.6126i  -0.2894 - 0.6993i
  -0.3147 + 0.6883i  -0.2501 + 0.6039i

A random orthogonal matrix

To generate a random orthogonal (rather than unitary) matrix, set RE = 1:

>> U = RandomUnitary(3,1)

U =

    0.9805   -0.1869   -0.0603
    0.1678    0.6381    0.7515
   -0.1020   -0.7470    0.6570

To verify that this matrix is indeed orthogonal, we multiply it by its transpose:

>> U'*U

ans =

    1.0000    0.0000    0.0000
    0.0000    1.0000    0.0000
    0.0000    0.0000    1.0000

Notes

The random unitary matrix is generated by constructing a Ginibre ensemble of appropriate size, performing a QR decomposition on that ensemble, and then multiplying the columns of the unitary matrix Q by the sign of the corresponding diagonal entries of R.[1]

References