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utils.vec

All Samples(217)  |  Call(209)  |  Derive(0)  |  Import(8)

```from .lmap import tensor as lmap_tensor
from .lmap import numstr_to_array, array_to_numstr, lmap
from .utils import (_warn, vec, inv_vec, qubits, expv, rand_U, rand_SU, rand_positive, mkron,
eighsort, spectral_decomposition, majorize, tensorbasis, assert_o)

```
```                if y.ndim == 1:
rho = inv_vec(y, dim)  # into a matrix
return vec(dot(H, rho) - dot(rho, H)) # back into a vector
else:
# vectorization, rows of y
d = empty(y.shape, complex)
for k in range(len(y)):
rho = inv_vec(y[k], dim) # into a matrix
d[k] = vec(dot(H, rho) - dot(rho, H)) # back into a vector
```
```                        ac = 0.5 * dot(A.conj().transpose(), A)
temp += dot(dot(A, rho), A.conj().transpose()) -dot(ac, rho) -dot(rho, ac)
return vec(temp) # back into a vector
else:
# vectorization, rows of y
```
```                            ac = 0.5 * dot(A.conj().transpose(), A)
temp += dot(dot(A, rho), A.conj().transpose()) -dot(ac, rho) -dot(rho, ac)
d[k] = vec(temp)  # back into a vector
return d

```