For the particular case of $p=2$, the $2$-norm of the vector is also called the Euclidean norm (and it is equal to our standard definition of distance):
$$||x||_2 = \sqrt{\langle x,x\rangle}$$
Where $$\langle x,y\rangle = \sum_{i=1}^n x_i \bar{y_i}$$
denotes the euclidian inner product in $\mathbb C^n$ (or in $\mathbb R^n$)
This designates the $2$-norm of your vector. If $1<p<\infty$, then the $p$ norm of a vector $x=[x_1,x_2,\dots,x_n]\in\mathbb C^n$ is defined as
$$||x||_p = \sqrt[p]{|x_1|^p + |x_2|^p + \cdots + |x_n|^p}$$
For the particular case of $p=2$, the $2$-norm of the vector is also called the Euclidean norm (and it is equal to our standard definition of distance):
$$||x||_2 = \sqrt{\langle x,x\rangle}$$
Where $$\langle x,y\rangle = \sum_{i=1}^n x_i \bar{y_i}$$ denotes the euclidian inner product in $\mathbb C^n$ (or in $\mathbb R^n$)