Add support to compile with Intel MKL + Use it in MPS simulation

[Patataman]

Summary

Hello, this PR add the capability of compiling against Intel MKL, and using its functions in the MPS simulation method.

It is build over the LAPACK SVD (https://github.com/Qiskit/qiskit-aer/pull/1897).

I understand that you may not like it as this will imply contemplate both, OpenBLAS and Intel MKL when developing. So, I am prepared for a full rejection of the PR.

Details and comments

1. Intel MKL overhead is a bit bigger than OpenBLAS, but performance in general is better.
2. To enable it, must pass the -DMKL flag in compiling time. E.g: python ./setup.py bdist_wheel -DMKL=True
3. While developing I got some segmentation faults in the SVD function. They happened because I was not using malloc/free at the time, so it should not happen again. However, I might missed something.
4. All the tests pass, but I have only benchmarked against MPS simulation.

As in my other PRs, I have used RQC (https://arxiv.org/pdf/2207.14280.pdf) to test the performance:

Server specs

CPU	Intel Xeon Gold 6148
# sockets	2
# cores	20
RAM	192GB
GPU	None
OS	Ubuntu 22.04.1 LTS
Python	3.10
OpenBLAS/LAPACK	0.3.21
gcc	v11.3

And, the average time (in seconds) from 5 different executions:

Depth	LAPACK QR	MKL QR	LAPACK D&C	MKL D&C
1	0.04652729	0.035822439	0.049358368	0.053574371
3	0.109769773	0.05801568	0.126575661	0.060559988
5	0.148080826	0.108965158	0.16601491	0.101443863
10	28.21881118	21.28681765	21.8562469	18.65257401
12	429.5337416	219.2043834	208.0082648	168.9656805
15	12694.68723	1883.074192	1790.687791	486.1422515

EDIT: Added results for depth 15

[merav-aharoni]

Best to review this after #1897 is merged, because the changes here include those. @doichanj - the main question here is for you, whether you want to include the MKL package in Aer.

[doichanj]

I think MKL should be optional that will not be included in distribution package of Aer. In this PR, MKL is enabled by setup option, so users who want to use MKL can build from the source