Update quantum code from matgwinc, and vectorize

Before this change and !31 (merged):

%timeit gwinc.gwinc(freq, ifo)

519 ms ± 15.6 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

After both:

%timeit gwinc.gwinc(freq, ifo)

50.4 ms ± 1.97 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)

%prun gwinc.gwinc(freq, ifo)

     5304 function calls (4870 primitive calls) in 0.102 seconds

Ordered by: internal time

ncalls  tottime  percall  cumtime  percall filename:lineno(function)
    74    0.033    0.000    0.034    0.000 coatingthermal.py:743(getCoatRefl)
     1    0.014    0.014    0.016    0.016 quantum.py:257(shotradSignalRecycled)
    10    0.008    0.001    0.008    0.001 suspension.py:30(tst_force_to_tst_displ)
     2    0.007    0.004    0.007    0.004 coatingthermal.py:446(getCoatTOPhase)
     1    0.006    0.006    0.016    0.016 suspension.py:51(suspQuad)
     7    0.006    0.001    0.006    0.001 {built-in method numpy.core.multiarray.matmul}

I think the biggest remaining chunk of run time goes to the coating design step in precompIFO (which can be skipped by setting CoatLayerOpticalThickness in the ifo struct).