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Spatial Characterization Of Two-Photon States - GAP-Optique

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2. Correlations and entanglement<br />

chosen. In the particular case of a two-photon system, the purity of the spatial<br />

part can be used to study correlations between the degrees of freedom, or the<br />

purity of the signal photon can be used to study the entanglement between the<br />

photons. The next sections explore both these approaches.<br />

2.2 Correlations between space and frequency<br />

In type-i spdc, the photons generated have a polarization orthogonal to the<br />

polarization of the incident beam. Therefore, the two-photon state generated<br />

in a type-i process has only two degrees of freedom: frequency and transversal<br />

spatial distribution. In this section, I study the origin and the characteristics<br />

of the correlations between those degrees of freedom by using the purity of the<br />

spatial part as a correlation indicator.<br />

Except for hyperentanglement configurations [12, 13] and some other novel<br />

configurations [6, 14], most applications of type-i spdc processes use just one of<br />

the degrees of freedom, ignoring the correlation that may exist between space<br />

and frequency. That is, those configurations assume a high degree of spatial<br />

purity. This section explores the conditions in which this assumption is valid.<br />

The first part of this section contains a discussion about the origin and<br />

suppression of the correlations. The second part includes the calculations for<br />

the spatial purity that is used as correlation indicator. The third part shows<br />

the results of numerical calculation of the spatial purity in several cases.<br />

2.2.1 Origin of the correlations<br />

According to the two-photon mode function, equation 1.34, the correlations<br />

between space and frequency appear as cross terms in the variables associated<br />

to those degrees of freedom, as figure 2.2 shows. The correlations between<br />

q s x<br />

q s y<br />

q i x<br />

y<br />

qi s<br />

i<br />

qs x<br />

a<br />

h<br />

i<br />

j<br />

k<br />

l<br />

q s<br />

y<br />

h<br />

b<br />

m<br />

n<br />

p<br />

r<br />

qi y<br />

i<br />

m<br />

c<br />

s<br />

t<br />

u<br />

Figure 2.2: Cross terms in matrix A generate correlations between space and frequency.<br />

Without those terms, the matrix A is composed by two nonzero block matrices,<br />

one for each degree of freedom.<br />

space and time are always relevant, if at least one of the cross terms k, l, p,<br />

r, t, u, v, w is comparable with another term of matrix A. Therefore, it is<br />

possible to suppress the correlations by making all the cross terms negligible,<br />

or by increasing the values of the other terms.<br />

The use of ultra-narrow filters in one of the degrees of freedom will suppress<br />

most of the information available in it, destroying any possible correlation with<br />

18<br />

q i<br />

x<br />

j<br />

n<br />

s<br />

d<br />

v<br />

w<br />

s<br />

k<br />

p<br />

t<br />

v<br />

f<br />

z<br />

i<br />

l<br />

r<br />

u<br />

w<br />

z<br />

g

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