RandomUnitary
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| 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
- ↑ Māris Ozols. How to generate a random unitary matrix, 2009.